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AKANKSHA T.

Data Scientist

Bengaluru, Karnataka, India9 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 8 years of experience in machine learning and analytics.
  • Expertise in customer analytics and retention strategies.
  • Proficient in multiple programming languages and statistical tools.
Stackforce AI infers this person is a Data Scientist with expertise in Fintech and E-Commerce analytics.

Contact

Skills

Core Skills

Data ScienceMachine LearningAnti Money LaunderingCustomer AnalyticsStatistical Analysis

Other Skills

GitlabSQLSASTableauRPythonSegmentationDecision TreeSurvival AnalysisTime Series ModelingRegression ModelingRFM AnalysisLinear RegressionLogistic RegressionStatistics

About

8 years of industry experience in machine learning models and Analytics Consulting in e-commerce, Retail, Retail Banking and Merchant Banking • Exposure in ML techniques- Random Forest, XGBOOST, NLP ,KNN, LSTM • Statistics and Predictive Models: Linear and Logistic Regression, Survival Analysis, Cluster Analysis, Principal Component and Factor Analysis in multivariate structure, Time Series Forecasting, Price Sensitivity Analysis through Price Elasticity Modeling • Customer Segmentation & Profiling, Customer Retention, Customer Lifetime Value Analysis, Campaign Effectiveness in Marketing and Pricing Analytics, Sales Forecasting. • Programming and Visualization: R, Python, SQL, SAS, SPSS (Basic), Ms-Packages, Tableau.

Experience

Iqvia

Data Scientist

Dec 2022Present · 3 yrs 4 mos · Bengaluru, Karnataka, India

GitlabSQLData ScienceMachine Learning

Facebook

Data Science

Jun 2021Jun 2022 · 1 yr · Seattle, Washington, United States

GitlabSQLData ScienceMachine Learning

Amazon

Data Scientist

Jul 2018Mar 2020 · 1 yr 8 mos · Bengaluru, Karnataka, India

SQLData ScienceMachine Learning

Citi

Data Scientist

Jul 2017Jul 2018 · 1 yr · Bangalore Area, India

  • Anti Money Laundering
SQLData ScienceAnti Money Laundering

Fiserv

Data Scientist

Oct 2015Jul 2017 · 1 yr 9 mos · Bangalore

  • Merchant Banking
  • Objectives : Customer life time value, attrition management, acquisition model, pricing and campaign management
  • Techniques: Segmentation, decision tree, Survival Analysis, Time series modeling, Regression Modeling(linear and logistic) , machine learning techniques like random forest, xgboost
  • Tool: SAS, Tableau, R, basic pyton
SQLSASTableauRPythonData Science+1

Antuit

Senior Statistical Analyst

Aug 2013Sep 2015 · 2 yrs 1 mo · Bangalore

  • Projects on Retail, E-Commerce and Direct Selling
  • Techniques: Time Series Modeling, RFM Analysis, Linear and Logistic Regression Analysis, Decision Tree
  • Tools: SAS & R, Tableau
SASRTableauStatistical AnalysisData Science

Education

Banaras Hindu University

Master's degree — Statistics

Jan 2011Jan 2013

Banaras Hindu University

B.Sc. (Hons.) — Statistics

Jan 2008Jan 2011

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