aakanksha jha
Data & Applied Scientist at Microsoft
data & applied scientist microsoft
★ experienced data & applied scientist 8 year experience passion develop statistical/machine learning/deep learning model contributes growth product . ★ skilled machine learning , data mining , data optimization decision modelling , data visualisation , statistical inference , regression modelling techinques . knowledge recommendation engine , text mining , social network analysis ★ programming skill : r , python , sa ★database management system : sql ★data visualisation : powerbi , tableau
Microsoft
https://www.linkedin.com/company/microsoft
Microsoft Azure
Microsoft 365 Team
Microsoft Compete
Microsoft Security and Identity
Greater Seattle Area
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Data & Applied Scientist
APL Logistics
https://www.linkedin.com/company/apl-logistics
1.Developed an Advance Analytics Framework for Supply Chain .
2.Monetization of 3PL data.
3.Create a use case for analytics framework.
United States
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Capstone Project
Accenture
https://www.linkedin.com/company/accenture
Mumbai Area, India
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Software Engineer
Accenture
https://www.linkedin.com/company/accenture
Mumbai Area, India
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Associate Software Engineer
Master of Science - MS
Business Analytics
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Arizona State University - W. P. Carey School of Business
https://www.linkedin.com/school/wpcareyschool/
Bachelor of Engineering (BEng)
BE in Computer Science
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University of Mumbai
https://www.linkedin.com/school/university-of-mumbai/
Associate of Science - AS
Post  Secondary  Education
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R. D. National College
https://www.linkedin.com/school/r.-d.-national-college/
Engage Charitable Trust-Non Profitable Organization
Feedback Analyst
Received a scholarship for pursuing Masters in Business Analytics at the W.P.Carey School of Business.
Arizona State University
W. P. Carey GPO Merit Scholarship.
Accenture Solutions Pvt Ltd
Outperformer Award at Accenture
Applied Analytics
SCM516
Business Analytics Case Study
CIS593
Data Driven Quality Management
SCM517
Enterprise Analytics
CIS505
Marketing Analytics
MKT591
Advance Decison Modelling
SCM518
Data Mining 1
CIS508
Data Mining 2
CIS509
Decision Modelling
SCM518
Job Search Strategies
CIS594
Working for Advance Analytics Framework in the era of supply chain disruptions.
Monetization of 3PL Data
APL Logistics
*Worked on Preprocessing of data which is merging of files and data cleaning in R script by using
  MICE() function which clean missing value .
*Worked on feature Engineering in R and got the derived features using Sparse matrix adding value to 
  the data and increasing the accuracy.
*Ran the model using boosted decision tree regression, linear regression and neural network
  regression with different features and hyperparameter tuning.
 *Worked on Stacked ensembling with cross validation tuning and got the best Kaggle score of 0.16.
House Prices: Advanced Regression Techniques
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
*Analyzed the daily operation data of Kolby’s and generated an operating reference with   optimized day wise floating price .
* Used Constant Elasticity of Demand on the data and created a model to maximize profit by  calculating the floating price per day per slot.
*Basded on the optimization the owner could make 70% profit from the past records.
Profit Optimization At KOLBY’S (Data Modelling)
https://www.kolbys.net/
*Designed a car model using lego blocks with a goal to maximize the distance and optimized cost using Minitab.
*Used 4 factors, using 2 raised to k =16 observation, 3 replicates and a total of  48 observations and performed the experiment with 48 trails with different factors on every run.
* Recorded observations on Minitab andperformed the model adequacy check and recorded the most contributing significant factors from the pareto ,normal probability plot ,Residual Analysis and came to the best contributing factors for the car covering the maximum distance.
Design of experiments to build a  race car using Lego sets(Minitab)
*Worked on Preprocessing of data which is merging of files and data cleaning in R script by using dcast()
* Worked on feature Engineering in R and got the derived features usingSparse matrix 
*Ran the model with and without Cross Validation with different multiclass algorithms using
hyperparameter tuning. 
*Worked on Stacked ensembling with cross validation tuning .
Kaggle Project:Predict service faults on Telstra Network Disruptions(Machine Learning)
https://www.kaggle.com/c/telstra-recruiting-network
*Performed clustering using K-Means and Kohonen methods on the dataset.
*Verified whether there lies a similarity in the pattern of lustering for the Kmeans and Kohonen.
Perform Clustering for Time Series Dataset
https://archive.ics.uci.edu/ml/datasets/Sales_Transactions_Dataset_Weekly
*Performed EDA ,Data Cleaning using SMOTE Analysis ,Treatment of Missing values.
*Performed Feature Based Selection using Pearson Corelation 
*Performed classification using Two Class Neural Networ,Two Class Support Vector Machine,Two Class Boosted Decision Trees,Two Class Decision Jungle,Two Class Decision Forest.
*Performed stacked ensembling
Porto Seguro’s Safe Driver Prediction
https://www.kaggle.com/c/porto-seguro-safe-driver-prediction
*Performed Exploratory data Analysis and conducted SMOTE means of sampling for the data set for imbalanced dataset.
*Used hyperparameter tuning and used classification method using two class decision forest,two class decision jungle and two class decision forest  for the best model predicting accurate results.
Fraud Detection for bank
*Performed initial Exploratory Data Analysis on the train data set .
*Analysed the data imbalance in the dataset.
*Performed hyperparameter tuning FScore and Accuracy as the main performance criteria .
*Used classification algoriths like Two class Boosted Decision Forest,Two Class Decision Jungle and Two Class Decision Forest for Best performing algorithm and best results.
Target Marketing-Portugese Bank Data
http://archive.ics.uci.edu/ml/datasets/Bank+Marketing
*This database was created by Sean Lahman, on Major League Baseball (MLB) 
* Performed various calculations for the the trend of players in baseball having maximum or minimum salary,average performance,winning and losing teams ,etc by using Tableau.
* Combined  datasets through joins and merged in one data and based on requirement created graphs,heat map to visualise various components of the baseball league using Tableau.
Tableau Visual analytics Project- Sean Lahman’s baseball dataset(Tableau)
Predict if  a  Customer would default performing credit  bucketting for customers.
Performed Market Basket Analysis using Association rule
Fortune Mining500 Company(SAP)
http://www.bhpbilliton.com
Developed and Customised configurations in Financial Accounting and Ticketing Relevancy setup Training provided to the end user as well as the fellow team members in logistics execution and sales and
distribution.
Fortune Mining500 Company
http://www.south32.net
The objective of doing a project on Gesture Recognition was Controlling Computer Using Hand Gesture
Recognition”. 
This was our Final Year BE project and we also presented a short length Technical Paper in the International Conference and Workshop on Electronics and Telecommunication Engineering at TCET and receivedappreciation for the design and documentation
Gesture Recognition (MATLAB)
Coursera
coursera.org
37E4VS6N7TLU
Python Data Structures
https://coursera.org/share/be3c8b509118c8e5108750229d1f5248
Coursera
coursera.org
5MU3FB65P5W2
Python for Everybody Specialization
https://coursera.org/share/8c04bb34032be3cd917b59941b403730
DataCamp
www.datacamp.com
d0ee257a2c83e62ed969f892b6ef71fc36acd103
Cleaning Data in Python Course
https://www.datacamp.com/statement-of-accomplishment/course/d0ee257a2c83e62ed969f892b6ef71fc36acd103
DataCamp
www.datacamp.com
6550bc966da5b332022a4ceb4fa8101408ba4a40
Intermediate Python for Data Science Course
https://www.datacamp.com/statement-of-accomplishment/course/6550bc966da5b332022a4ceb4fa8101408ba4a40
DataCamp
www.datacamp.com
b0f3f88f12f86198514826a9f5dd88ac9e1d4f6c
Intro to Python for Data Science
https://www.datacamp.com/statement-of-accomplishment/course/b0f3f88f12f86198514826a9f5dd88ac9e1d4f6c
Coursera
www.coursera.org
8KLGQM334DAJ
Practical Machine Learning
https://www.coursera.org/account/accomplishments/certificate/8KLGQM334DAJ
DataCamp
www.datacamp.com
4677bd31be261bee29b95d19402301e84e3e0ebd
Python Data Science Toolbox (Part 1) Course
https://www.datacamp.com/statement-of-accomplishment/course/4677bd31be261bee29b95d19402301e84e3e0ebd
Coursera
www.coursera.org
UL8VW8TWCVH9
R Programming
https://www.coursera.org/account/accomplishments/verify/UL8VW8TWCVH9
Coursera
www.coursera.org
2QXB29NAVXM2
Statistical Inference
https://www.coursera.org/account/accomplishments/certificate/2QXB29NAVXM2
Coursera
www.coursera.org
7CGKBX7QXSAZ
The Data Scientist’s Toolbox
https://www.coursera.org/account/accomplishments/verify/7CGKBX7QXSAZ
BCS, The Chartered Institute for IT
eprofessional.bcs.org
271280
Foundation Certificate in Business Analysis (2015)
https://eprofessional.bcs.org/Portal/eCertCheck
AXELOS Global Best Practice
ITIL/MY794744
ITIL R Foundation Examination
Accenture
Accenture  GFT
Infosys
INFOSYS FOUNDATION TRAINING
Google, Social Marketing Tools
analytics.google.com
Advanced Google Analytics
https://analytics.google.com/analytics/academy/course/7/certificate
Google, Social Marketing Tools
analytics.google.com
Ecommerce Analytics: From Data to Decisions
https://analytics.google.com/analytics/academy/course/3/certificate
Google, Social Marketing Tools
analytics.google.com
Google Analytics for Beginners
https://analytics.google.com/analytics/academy/course/6/certificate
Coursera
coursera.org
5Y7NE8B6W8K6
Social Network Analysis
http://coursera.org/verify/5Y7NE8B6W8K6
LinkedIn
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The Data Science of Experimental Design
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Test your HiPPOpinions poster mockup that showed up on my "On this day 14 years ago."  The ExP team tried to change the culture at Microsoft to run…
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If you are shipping features without running a *controlled* experiment, you are really running an *inefficient* experiment, where analysis is done by…
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Toronto, ON
Aakanksha Jha
Manager | Project Delivery & Management at RBC
https://in.linkedin.com/in/aakanksha-jha-086589213
New Delhi
Aakanksha Jha
Sophomore@IGDTUW'24 || General secretary at Cognito SDG
https://in.linkedin.com/in/aakanksha-jha
South Delhi
Aakanksha Jha
Freelance Copywriter, UX Writer, Blog Writer
https://in.linkedin.com/in/aakanksha-jha-creative-producer
Mumbai
Aakanksha Jha
Creative Lead at SUGAR Cosmetics
ASU's W. P. Carey School of Business Alumni
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Machine Learning and Data Science
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ASU MSBA Class of 2018
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Data Scientist & Analyst
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