Aakriti Garg
Data Modeling Analyst at MRP
Transforming business with data science. Design and develop innovative ways to improve data quality and models.
Experienced in Analytics and Software Development seeking for full time opportunities as Data Analyst/ Data Engineer/Business Analyst or related roles in fast-paced data driven environment where I can apply my skills efficiently to achieve project goals and grow as a professional in the field of Data science.
Posses excellent communication and interpersonal skills. Worked as an active member of various teams and have worked an organizer for an international technical fest during my bachelor’s. Also worked as one of the organizers for the first independent TEDx workshop at Cognizant Technology Solution, Chennai, India.
MRP
https://www.linkedin.com/company/mrpfd
•	Responsible for designing and maintaining automated processes and routines to evaluate, monitor and improve various aspects of overall data quality and depth
•	Designing advance data models to evaluate data integrity, validation, and detection of anomalies those are then highlighted for additional examination and correction as required
•	Developing web data-extraction processes using Python to source external data from identified sources; extract, transform, and load data for data enrichment process resulting in growth of data and improving various aspects of data quality including but not limited to completeness, accuracy, validity, and timeliness
•	Working with Data Manager and other stakeholders to identify gaps in CRM database quality and breadth, and continuously work to improve the overall quality of the CRM data
•	Designing visualization dashboard used to effectively present the analysis of appropriate data to communicate with the stakeholder facilitating understanding of KPIs and business roadmap for data architecture and quality
•	Built SQL queries advanced analytical functions to perform data extraction and merging from large volumes of CRM and business call log data
•	Designed and implemented SQL processes to automate and streamline the process of data validation
•	Actively involved in the vendor validation to examine the accuracy and efficiency of external vendors to cleanse, standardize, normalize, and de-duplicate the data for importation into the CRM application
•	Designed automated ETL processes for structure and unstructured data from multiple on-prem source and external source systems enabling marketing CRM analytics, data science and BI capabilities across MRP products and line of businesses
•	Analysis of large volumes of data using company’s propriety programming language, kbd+ and q programming specialized in working with big data
Philadelphia, Pennsylvania
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Data Modeling Analyst
George Mason University
• Grading assignments on optimization, decision trees, Monte Carlo Simulation and answering students’ queries on these topics for an Operational Research course focusing on prescriptive and predictive analytics
Fairfax, Virginia
Graduate Teaching Assistant
George Mason University - School of Business
https://www.linkedin.com/company/george-mason-university-school-of-business
• Identified, analyzed, and interpreted trends in complex data sets offered by Fannie Mae and Freddie Mac to the performance files for each loan for 15 years.
• Developed and implemented data collection systems and other strategies to optimize statistical efficiency and data quality.
• Performed data cleaning and transformation from different sources to utilize data for analytics.
• Performed data sampling, data imputation, pruning, built statistical models in R, test model and compare models by evaluating metrics and identified abnormities in data impacting the statistical inference.
Fairfax, Virginia
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Research Assistant
Condeco Software Pvt. Ltd.
•	Served as a Business data analyst by using Data Visualization tools like Tableau, Microsoft Power BI and R studio on large data sets to perform interactive reporting and analysis of the dashboards
•	Used R and SPSS for predictive analysis of the complex datasets for various upcoming product enhancement
•	Analyzed trends, data patterns and anomalies while working on different business intelligence and application development platform
•	Performed data quality check for bugs detected in the application, understanding legacy platform and analyzed customer requirements of systems for building future upgrades for workspace management product
Haryana, India
Business Data Analyst
Cognizant Technology Solutions
https://www.linkedin.com/company/cognizant
•	Performed data modeling on the employee data used for predicting the best composition of retirement plans profile for an employee
•	Used R and SAS for the employee data for the renowned credit union to perform customer profiling
•	Developed SQL queries and complex nested SQL subqueries for extensive data quality checks on outbound files and inbound files, data migration, analysis, and validation
•	Built Tableau dashboards for visualization of various retirement plans to perform exploratory analysis on various retirement plans offered to employee
•	Served as a Business Analyst responsible for gather business requirements, analyze data/workflows of an MVC web application to automate the document validation and submission of retirement plan adaption by an employee
Chennai Area, India
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Business Analyst
Mahindra Comviva
•	Performed data quality check for data integration platform with the E recharges and the offers on the same
•	Worked closely with stakeholders to understand requirements regarding solutions, ensure data quality and perform Gap analysis
•	Developed visualization using Tableau and MS Excel to explore the sales trends for different region of Comviva’s client base
•	Created reports of E-recharge trends and offer utilization to be used by the network operators and distributors
Haryana, India
Junior Analyst
Master's degree
Data Modeling/Warehousing and Database Administration
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George Mason University
https://www.linkedin.com/school/george-mason-university/
Bachelor's Degree
Biomedical/Medical Engineering
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Vellore Institute of Technology
https://www.linkedin.com/school/vellore-institute-of-technology/
The price of a house can’t be necessarily predicted by studying the number of bedrooms and bathrooms, the height of the ceiling, the age of the property or even the extensive study of the neighborhood. A house that becomes a home of a family needs to tick off all the boxes. A house buyer considers a lot more than the statistics of the property before investing his/her hard-earned money into a dream house.
This project attempts to expand the house prediction model to predict the sale price of a house in Ames, Iowa by considering various parameters the house-buyer is most likely to consider. We also performed feature engineering to identify the key predictors that infulencxe the sale price of the house in the region. We have used the Ames housing dataset that consists of 79 explanatory variables i.e., 37 quantitative and 42 qualitative variables that describe almost every possible aspect of residential homes.
Kaggle - Ames IOWA House Pricing
Web scraped data from Yelp website is used to identify and analyze trends that fetches insights on the restaurant industry in USA. This project utilizes dataset compiled by the Yelp cooperation. We have performed data exploration to identify trends like the most preferred cuisine, the US state with highest reviews, most commonly served dishes etc. We performed sentiment analysis using the NLP techniques to classify these reviews as either positive or negative. These then labeled reviews are analyzed to identify the most liked and disliked features, that aids in deciding the must-have and must-not-have features of our restaurant.
Kaggle – Yelp Dataset Challenge
In face of a global slowdown in terms of placements and admissions, there has been a significant drop in recruitment of the MBA students since 2012, which in-turn lead to a decrease in institutes’ admissions turnover.
The aim of this data analysis project is to design an application that can help institutes keep the applicants to be admitted to the MBA program based on their chances of getting placed after obtaining the MBA degree. The data model was designed to have a strong Sensitivity score (students correctly predicted as placed) and few false negatives.
The project performs feature selection to design the data model for admission procedure for an A-class business school. We also performed data exploration of the dataset to identify underlying patterns and features that influenced the choice for specialization by the applicants. Lastly a prediction model was developed to shortlist the profiles of applicants for the MBA program.
Analysis of Applicants’ Profile for the MBA Program
Developed an interactive R Shiny App to visualize and analyze the changing trend in the homicide cases throughout all states of the USA. The project helps understand the changes over years for trend like choice of weapon, gender of victim and perpetrator for the last 34 years.
Changing Trend in Murder Weapons in the USA
https://agarg6.shinyapps.io/us_homicide_analysis/
NOVEC is a locally based and owned electric distribution system headquartered in Manassas, Virginia. NOVEC has installed substation automation devices that uses Fiber-optic telecommunications 
technology to communicate between substations and automation the process of electric usage data collection.
The growing application of data analysis and the way the technology is helping businesses grow makes NOVEC use the collected data to not only generate bills for each customer but to perform analysis on this data to forecast the electric usage using an ARIMA time series predictive model.
NOVEC being an electrical distribution system purchases electricity from the futures market helping them utilize the dynamic nature of the market to make a purchase at the best price. And for them to make a good purchase in ever-so changing market they need the prediction model to work spot-on.
NOVEC is currently facing some issues with the performance of this prediction model. The model that works spot-on under ideal conditions, seems to be much affected by sudden or drastic weather changes.
The objective of this project is to give NOVEC a perfectly working model under normal and not-so normal weather conditions without having to change their basic operations. The client was confident about the correctness of the model and feel changing the model might affect operations and wouldn’t want that unless absolutely, necessary. 
We decided to perform data conditioning to detect any anomalies or outliers that maybe be caused by an outage due bad weather conditions and might an algorithm that brings these outliers within the acceptable range of data. The objective of the developed algorithm is to condition the data to improve the overall data quality to ensure accuracy of the predictive data model.
Data Conditioning for NOVEC’s ARIMA forecast model
LinkedIn
www.linkedin.com
Confronting Bias: Thriving Across Our Differences
http://www.linkedin.com/learning/confronting-bias-thriving-across-our-differences
LinkedIn
www.linkedin.com
Cleaning Bad Data in R
http://www.linkedin.com/learning/cleaning-bad-data-in-r
LinkedIn
www.linkedin.com
Data Wrangling in R
http://www.linkedin.com/learning/data-wrangling-in-r
Lynda.com
www.lynda.com
Requirements Elicitation and Analysis
http://www.lynda.com/Project-Management-tutorials/Requirements-Elicitation-Analysis/580635-2.html
LinkedIn
www.linkedin.com
The New Age of Risk Management Strategy for Business
http://www.linkedin.com/learning/the-new-age-of-risk-management-strategy-for-business
LinkedIn
www.linkedin.com
Learning Web Analytics
http://www.linkedin.com/learning/learning-web-analytics-2
Lynda.com
www.lynda.com
Agile Requirements Foundations
http://www.lynda.com/Project-Management-tutorials/Agile-Requirements-Foundations/580638-2.html
Lynda.com
www.lynda.com
Business Analysis Foundations: Business Process Modeling
http://www.lynda.com/Project-Management-tutorials/Business-Process-Modeling-Fundamentals/490754-2.html
Lynda.com
www.lynda.com
Business Analysis Foundations: Competencies
http://www.lynda.com/Project-Management-tutorials/Business-Analysis-Foundations-Competencies/601768-2.html
Lynda.com
www.lynda.com
Interpersonal Communication
http://www.lynda.com/Leadership-Management-tutorials/Interpersonal-Communication/580627-2.html
Lynda.com
www.lynda.com
Negotiation Foundations (2012)
http://www.lynda.com/Business-Skills-tutorials/Negotiation-Fundamentals/101504-2.html
LinkedIn
www.linkedin.com
Learning SQL Programming
http://www.linkedin.com/learning/learning-sql-programming
LinkedIn
www.linkedin.com
R Statistics Essential Training
http://www.linkedin.com/learning/r-statistics-essential-training
LinkedIn
www.linkedin.com
SQL: Data Reporting and Analysis
http://www.linkedin.com/learning/sql-data-reporting-and-analysis
Lynda.com
www.lynda.com
Tableau Essential Training
http://www.lynda.com/Tableau-tutorials/Tableau-Essential-Training/618727-2.html
https://pk.linkedin.com/in/tayyab-naseem-7b087465
Pakistan
Tayyab Naseem
Recent George Mason graduate in Data Analytics Engineering seeking full time employment
https://www.linkedin.com/in/soundarya-mukkamala-806363142
Atlanta Metropolitan Area
Soundarya Mukkamala
Data Analyst and Developer at Bentley Systems
https://www.linkedin.com/in/nikhithalingutla
New York City Metropolitan Area
Nikhitha Lingutla
Machine Learning Engineer - Python | SQL | R | Neural Networks | Tableau | PowerBI
https://www.linkedin.com/in/kumar-sameer
United States
Sameer Kumar
Data Analytics @ Honeywell
https://www.linkedin.com/in/jahanvikalra
Seattle, WA
Jahanvi Kalra
Actively Seeking Full-Time Opportunities | Graduate Student at University of Maryland | RF Engineering | Wireless
https://www.linkedin.com/in/sonali-avlani
San Francisco Bay Area
Sonali Avlani
Manager, Digital Data Strategy at Salesforce
https://in.linkedin.com/in/prithvi-raj-a307b8218
Koderma district
Prithvi Raj
Programmer Analyst Trainee at Cognizant
https://www.linkedin.com/in/gina-hays-125a47155
Greater Philadelphia
Gina Hays
Senior Manager, ABM at MRP
https://www.linkedin.com/in/meghana-bontha
Austin, TX
Meghana Bontha
Site Reliability Engineer
https://in.linkedin.com/in/pavan-kaliki-3920111a9
Hyderabad
pavan kaliki
like Coding
https://www.linkedin.com/in/onkarrandive
San Diego, CA
Onkar Randive
Software Engineer at Qualcomm
https://www.linkedin.com/in/robert-donise-561540101
Philadelphia, PA
Robert Donise
Partner Marketing Advisor at Juniper Networks
https://www.linkedin.com/in/sirisha-patibandla
Owings Mills, MD
Sirisha Patibandla
Software Engineer at T Rowe Price
https://www.linkedin.com/in/sowmya-thati-3307768b
Nashville, TN
Sowmya Thati
BI/Data Analyst at Asurion
https://www.linkedin.com/in/rakeshbpatil
Dallas-Fort Worth Metroplex
Rakesh Patil
Data Analyst at Agentra Healthcare Solutions
https://www.linkedin.com/in/neha-vanjani-05616752
New York City Metropolitan Area
Neha Vanjani
Sales Operations Analyst at Linked[in]
https://www.linkedin.com/in/nickscheifler
Austin, TX
Nick Scheifler
Director of Data & Analytics @ SupportNinja
https://www.linkedin.com/in/anurag-gate
Milpitas, CA
Anurag Gate
Data Analyst at Google ................................................................
Data Analytics 📈|Business Intelligence📝|Visualization📊|| Looking for full time Roles ||
https://www.linkedin.com/in/sagarvasaikar798
New York City Metropolitan Area
Sagar Vasaikar
Actively looking for Full-Time Job opportunities Data/Business Analyst | Data Scientist | BI Analyst | Product Analyst
Paul Nicholas
      
          



            
              
        
              
  

    
        Aakriti is an intelligent, hard-working, and motivated data analyst, ready for the next challenge and to apply her analytic capabilities to solve real-world problems.  I worked with her over the course of two years, and was always impressed by her attentiveness and willingness to help others learn the field of data analytics.  She will make a valuable and energetic addition to an analytics team.  
https://in.linkedin.com/in/aakriti-garg-06339b183
North Delhi
Aakriti Garg
Advanced Actuarial Analyst at EY
https://in.linkedin.com/in/aakriti-garg-80055b122
Bangalore Urban
Aakriti Garg
IIMBx | India SME Forum |B2B
https://in.linkedin.com/in/aakriti-garg-35463256
Muzaffarnagar
Aakriti Garg
Software Engineer
https://in.linkedin.com/in/aakriti-garg7
Delhi, India
Aakriti Garg
.
https://www.linkedin.com/in/aakriti-garg-46633aa2
United States
Aakriti Garg
#Hiring  #jobs, #hiring, #resume, #staffing, and #recruitmentBoston, Massachusetts, United States
ASP.NET,C#/VB.NET  Developer/Programmer
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Data Analytics and Engineering Group
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Tableau Fans and Friends
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https://www.linkedin.com/groups/118463