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Ankur Gupta

@ankur_gupta

Data Scientist at Myteam11

Jaipur

www.linkedin.com/in/ankur-guptaa/

Myteam11The LNMIIT

Ankur Gupta is a results-oriented professional with 8 years of experience as a Data and Business Intelligence Analyst. He possesses strong proficiencies in Python, SQL, and Machine Learning, specializing in areas like Fraud Detection, Predictive Modelling, and Business Intelligence. His experience includes developing scalable BI solutions and optimizing processes using advanced techniques like XGBoost and Random Forest.

Experience

Data Scientist

Myteam11

Dec 2001 - PresentJaipur

Engineered a high-performing Fraud Detection for fantasy sport achieving a remarkable 97.4% recall using hybrid algo encompassing Random Forest, KNN, Decision Tree, MLP and LR, leading to annual savings of up to 4 crores. Name Matching Algo for matching Pan name with Bank Name to identifying 10% more fraud. Defined the Skill Matching algo on real time for 2 player game bases of logistic function. Work on Image Detection using yolo for extracting card information from Playing Cards in rummy. Collaborate closely with Customer Retention team to defining strategies and analysis of campaign and funnels for fantasy and game.

Senior Data Analyst

Nicobar Design

Oct 2001 - Dec 2001Delhi

Evaluating the performance of product features rolled out via A/B Testing experiment with google optimizer 360. Performing Inventory Planning and Store Replenishment for retail for pan India in EOSS time. Successfully developing a Delivery Model using the XGBoost to predict delivery probability with 80% of accuracy which impact to save 1 crore annually.

Business Analyst-DBA & Software Dev

Voylla Fashions

May 2001 - Oct 2001Jaipur

Architected, planned, designed, and implemented robust Incremental Data Warehouse on AWS EC2 instance. Developed DB procedures, resolved performance issues, & optimized SQL queries effectively. As a Developer, I’ve hands-on experience working on Odoo(openERP) on various modules, including Sales, Purchase, Manufacturing, Warehouse, Invoicing, POS, and Accounting.

Business Intelligence Analyst

Voylla Fashions

Oct 2001 - Sep 2001Jaipur

Gathered images on basis of design/pattern to identify current trend in fashion jewelry by unsupervised learning by extract feature from transfer learning followed by PCA, K-mean. Collaborate with marketing team to monitor and optimize Facebook spending through Python, resulting in a remarkable 20% increase in daily Facebook Revenue. Achieved 20% higher Store Replenishment efficiency by employing RF for store prioritization.

Education

The LNMIIT

B.Tech.

ECE

Jan 2015Grade: 7.3 CGPA

Tagore Public School

12th

Jan 2010Grade: 75.8%

Tagore Public School

10th

Jan 2008Grade: 75%

Skills

Python
SQL
Machine Learning
Deep Leaning
Advance Excel
Statistical Modelling
Predictive Modelling
Business Intelligence
Data Visualization
Data Mining & Insights
AWS
Google Cloud
Facebook
Fraud Detection
Project Management
Root Cause Analysis