aabha desai
Member at The Honor Society of Phi Kappa Phi
business analytics graduate student fall ’ 20 | dean ’ scholar | python | r | sql | data science | machine learning | analytics
business analytics graduate student university texas dallas . 5 year experience vendor development & management professional . worked multiple project client included ‘ fortune 500 ’ organization . role wa gather client requirement per project scope , analyze transactional data generate financial saving opportunity . wa done optimizing procurement process . analysis data , decision-making , problem-solving big part professional journey far , fostering inclination pursue education field . apart academic , also involved marketing analytics club utd networking officer . also volunteer utd community garden . aspiring data analyst/scientist demonstrated ability make business strategy decision via data analytics , seeking opportunity leverage newly acquired skill machine learning , advanced statistic , database management , data visualization , along business acumen . highly motivated , positive , goal-oriented person demonstrated skill development , teamwork & leadership . programming/tools : r , python , hadoop , sql , mongodb , tableau , matlab , excel machine learning/analytics : supervised ml , deep learning library , ensemble learning business : problem solving , critical thinking , decision making , team player
The Honor Society of Phi Kappa Phi
https://www.linkedin.com/company/phikappaphi
United States
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Member
Consulting Leadership & Development Society
https://www.linkedin.com/company/clds-utd
• Collected, integrated, and analyzed relevant data from government sources to provide insights on Market demographics, needs, trends, and growth to develop a customer acquisition strategy for a local EdTech firm with a cross-functional team.
• The recommendations and insights were presented using Tableau-based visualizations.
Dallas, Texas, United States
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Associate - Data Science
Marketing Analytics Club UTD
https://www.linkedin.com/company/marketinganalyticsclub
Successfully arranged two guest lectures by the industry experts on the latest trends in marketing analytics to familiarize members of the club with current best practices in the industry.
Dallas, Texas, United States
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Networking Officer
Morris Garages India
https://www.linkedin.com/company/mgmotorindialtd
• Led the product development phase from sourcing till Start of Production of Electrical and Power train components, for an SUV, achieving more than 100% performance target.
• Managed and maintained strategic supplier relationships with +10 suppliers and assisted in improving supplier performance and development through continuous analysis.
• Mentored undergrad trainee for 2 months and a Masters intern for her project on Electric vehicle.
Halol
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Deputy Manager
Tata Consultancy Services
https://www.linkedin.com/company/tata-consultancy-services
• Led and managed sourcing project for a well Known FMCG Company across North America.
• Achieved overall savings of 10% on spend by developing an improved process using previous data for reducing time and achieving optimum savings.
Pune, Maharashtra, India
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System Engineer
Volkswagen India
• Finalized rate contracts for VW and SKODA spares, required for aftermarket segment. 
• Tracked critical and EOP (End of Production) suppliers for tooling, quality, capacity issues and created contingency plans for 50+ suppliers. 
• Developed Skoda accessories required for local as well as export markets.
chakan
Officer Corporate Purchasing
Forbes Marshall
https://www.linkedin.com/company/forbesmarshall
Worked on project titled as "Design & optimization of zonal pocket ventilation box in paper industry".The subjects of interests of this project are Thermodynamics,Heat Transfer,Fluid Mechanics,Psychrometry & also CFD simulation.
chinchwad
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Project Trainee
Master of Science - MS
Business Analytics
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The University of Texas at Dallas
https://www.linkedin.com/school/university-of-texas-at-dallas/
Bachelor's Degree
Mechanical Engineering
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University of Pune
https://www.linkedin.com/school/university-of-pune/
Mechanical Engineering Students Association
Co-Founder and Ladies Representative
Marketing Analytics Club - UTD
Networking Officer
UT Dallas Naveen Jindal School of Management
Dean’s Excellence Scholarship for Incoming Students
Advanced Business Analytics with R
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Advanced Statistics for Data Science
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Applied Econometrics
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Applied Machine Learning
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Big Data
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Business Analytics with R
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Data Visualization
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Database Foundations
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Prescriptive Analytics
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In this report, sentiment and time series analysis has been used to answer three important questions regarding Pfizer-BioNtech COVID-19 vaccine:
1. Is willingness to be vaccinated increasing or decreasing?
2. What are some of the reasons for public hesitancy about getting vaccinated?
3. What motivates people most to get vaccinated?
To help answer these questions , the following hypotheses have been analyzed:
1. The dominant sentiment about the vaccine is Positive.
2. The daily average sentiment follows an upward trend.
3. The sentiment series is stationary and can be used to forecast average sentiment score in the future.
4. There is a strong correlation between the average sentiment score and the percentage of people vaccinated.
5. There is a strong correlation between the average sentiment score and daily number of tweets.
From the analysis, we can conclude that, people are generally accepting towards Pfizer-BioNTech COVID-19 vaccine and are willing to get vaccinated. People having negative attitude towards the vaccine are more concerned about the side effects, it’s safety and allergies. People showcasing positive sentiment seem to believe in scientific studies carried out to develop the vaccine, approvals given and efficacy of the vaccine against COVID-19. This analysis would help public health authorities design and plan vaccine campaigns to increase public inoculation by focusing their ads and campaigns on concerns that people have.
Sentiment and Time series Analysis for Pfizer & BioNTech COVID-19 Vaccine
Worked on a project, “Statistical Analysis of Avocado Data for Predicting Average Price” for my Business Analytics with R course. The project involved analyzing avocado sales data taken from Hass Avocado Board. The data ranged from Jan 2015 to May 2020. We tested for the following hypotheses 
1.	Avocado Pricing shows more relationship to season rather than region. (This hypothesis was not     rejected)
2.	Over time, across all regions, consumers become less price sensitive. (This hypothesis was rejected)
3.	There is a change in avocado prices during the seasonal California wildfires. (This hypothesis was not rejected)
We used several algorithms for predictive modeling like linear regression, subset selection, regularized regression, and ensemble methods. We found that Random Forest was the best model based on lowest RMSE of 0.1327. This model displayed that the type, avocado size, and bag sizes seem to be the most influential variables in determining average price. Businesses can use this model to further understand the avocado pricing structure to make sound business decisions and enhance their business.
Statistical Analysis of Avocado Data for Predicting Average Price
Environment
UTD Community Garden
Volunteer
LinkedIn
www.linkedin.com
Data Engineering Foundations
https://www.linkedin.com/learning/data-engineering-foundations
LinkedIn
www.linkedin.com
The Data Science of Experimental Design
https://www.linkedin.com/learning/the-data-science-of-experimental-design
Tableau
www.credly.com
Tableau Analyst
https://www.credly.com/badges/49b4afd5-499e-4ce0-9e49-01fbf46fb6f7?source=linked_in_profile
Google
Google Analytics for Beginners
https://www.linkedin.com/in/sbptl
Dallas, TX
Swachchhanda Patil
MSITM @UTD | Ex- L&T | Java, Python, SQL, MongoDB, RPA, Big-Data, Selenium, BDD, CI-CD, API, Docker, Low code automation
https://www.linkedin.com/in/sourabhshelke
Richardson, TX
Sourabh Shelke
Actively seeking internship (Summer 2022) | MS in Business Analytics | The University of Texas at Dallas | SQL | R | ORACLE | Statistics | Data Analysis | Reporting | People Management
https://www.linkedin.com/in/sourav-ray97
Dallas, TX
Sourav Ray
Actively Seeking Summer 2022 Internships | Business Analytics at University of Texas at Dallas | Consulting | Python | SQL | R | SAS | MS Excel | Tableau
https://www.linkedin.com/in/parishmita-chakrabarty
Dallas, TX
Parishmita Chakrabarty
Graduate Student II Data Analytics II Marketing Analytics II Strategy & Insights II Data Science || R Certified II Tableau Certified
https://www.linkedin.com/in/akshai-seshadri
Dallas, TX
Akshai Seshadri
Data Science Intern
https://www.linkedin.com/in/keerthitirumalika
Dallas, TX
Keerthi Tirumalika
Graduate Student at The University of Texas at Dallas, MS in Business Analytics | Actively seeking summer 2022 internship opportunities in Business analysis, Data analysis | R | SQL | Python | Tableau | MS Excel
https://www.linkedin.com/in/nikhilshelke2211
Richardson, TX
Nikhil S.
Actively seeking summer ‘22 internship| Aspiring Data Analyst  | Graduate Student at University of Texas at Dallas
https://www.linkedin.com/in/neelchheda07
United States
Neel Chheda
Graduate Teaching Assistant at The University of Texas at Dallas
https://www.linkedin.com/in/ganesha-marella-2705a1195
Richardson, TX
GANESHA MARELLA
Graduate student at the University of Texas at Dallas | MS Business Analytics | ISB TEP
https://www.linkedin.com/in/aishwarya-gaikwad-a443b2179
Dallas, TX
Aishwarya Gaikwad
Business Analytics | Project management | Tableau | Power BI | R | SQL | Python | Project Consulting | Ex-Birlasoft Ltd. | Seeking Summer'22 internship opportunities
https://www.linkedin.com/in/gunasheel
Dallas-Fort Worth Metroplex
Gunasheel Srinivas Manjula
Data Analyst Intern at EDPR North America | MS | MBA
https://www.linkedin.com/in/nainavc
Richardson, TX
Naina Chowdhary Vallurupalli
Actively Seeking Full-time opportunities from May 2022 | Data Science| Data Analytics | Business Analytics
https://www.linkedin.com/in/sakshishah6012
Richardson, TX
Sakshi Shah
Actively Seeking 2022 Summer Internship | MS in Business Analytics | Graduate Student at UT Dallas | Marketing Analytics | Data Enthusiast | Data Analysis | Tableau | SQL | R | Python | Adobe Analytics | MS Excel
https://www.linkedin.com/in/kanishk-chauhan
Richardson, TX
Kanishk Chauhan
Actively Seeking Summer 2022 Internship | MS in Business Analytics | R | SQL | Tableau | Python | Stata | MATLAB | Google Data Studio
https://www.linkedin.com/in/akshatabhandiwad
Dallas, TX
Akshata Bhandiwad
Data Analyst Intern @ CS | Business Analytics Graduate at UT Dallas | Python, R, SQL, Tableau | Data Scientist | Data Visualizations | A/B Testing
https://www.linkedin.com/in/apoorvapatil13
Dallas, TX
Apoorva Patil
Graduate student at UTD | MS Information Technology and Management | Business Analyst | SQL | Tableau | Python | R | Seeking internship opportunities starting Spring/Summer'22
https://www.linkedin.com/in/deisnel-cardenas
New York City Metropolitan Area
Deisnel Cardenas
Data Scientist
https://www.linkedin.com/in/rutvikbhopatrao
New York, NY
Rutvik Bhopatrao
Associate Manager-Retail Analytics at Tredence Inc.
Eagle Xiang
      
          



            
              
        
              
  

    
        I have worked with Aabha for a few months. Even for this short period, she has quickly demonstrated her capability in fast-learning, problem solving & execution excellence. And I have no doubt she is going to be a great leader in her carreer.
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“When I was younger, I’d ask my grandfather why we were so happy, despite being poor. He’d say, ‘Happiness is our cheapest luxury’. My father was…
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I started my internship last week with the Western Dental Credit Department as a Credit Analyst Intern! I am very excited to apply my class knowledge…
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So yesterday, I had an in–person interview with someone with a gamut of experience at a VERY renowned company in the past. The meeting was scheduled…
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Nairobi, Kenya
Aabha Desai
Annotator
https://in.linkedin.com/in/aabha-desai-926a3322b
Mumbai
Aabha Desai
Branch Manager RH at Robinhood Insurance Broker Pvt Ltd
Data Mining, Statistics, Big Data, Data Visualization, AI, Machine Learning, and Data Science
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Women in Data Science (WiDS)
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Marketing Analytics & Data Science
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Machine Learning and Data Science
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Artificial Intelligence, Deep Learning, Machine Learning
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Marketing Executive Network- CMO Strategy, Digital Marketing, Social Media, Mobile, Email, Analytics
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Analytics and Artificial Intelligence (AI) in Marketing and Retail
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