About

About Me

It's all about perception...!!

0 Project completed

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Experience

Experience

January 2022-Nov 2023

Senior Data Scientist

Deloitte

Developed an End-to-End Time Series system to forecast User related KPI metrics for Wallet payment, strategy and planning purpose in dierent markets, which helped to suggest actionable insights for improving the product usage and revenue.

May 2019-August 2019/June 2020-Oct-2020

Analytics Intern

Mary Kay

Performed Segmentation on 2+ Million customers with K-means clustering to target customers in the United States and redefined marketing strategies, which increased conversion rate by 9%.

December 2019-May 2020

Data Scientist

Techstar (Client : Verizon)

Building a AI/ML model to predict which server needs to be patched for 5G upgradation, benefits up to $1.7 million. Extracted more than 20 millions records to build predictive model and analyzed reasons of failure.

June 2015-June 2018

Data Science & Analyst

larsen & toubro infotech

Manufactured a descriptive statistics and predictive model to anticipate the buy probability of a Automobile client, who is in the middle of statement and strategy buy arrange and distinguished the factors that affected client transformation rate essentially.

October 2020-January 2022

Data Scientist - Technical Advisor

Palladium

Developed a Time Series model to forecast the number of positive HIV & AIDS cases in African countries at Local Municipality level using exogenous factors to benet 30+ millions patients

August 2018-May 2020

M.S. in Business Analytics

The University of Texas - Dallas

Grasped data extraction and cleaning techniques, statistical and predictive modeling, machine learning, big data tools, data variation and validation, linear and quadratic analysis, NLP and data visualization techniques.

August 2019-November 2019

Data Science Intern

Truevim

Staged web scrapping to extract 5+ million raw data, cleaned and preprocessed to convert into 300+ features for exploratory data analysis to provide descriptive statistics and built machine learning models. Built appropriate regression models to predict house price and deployed using Flask to create proof of concept API.

August 2011-June 2015

B.E. in Electronics & Telecom Engg

University of Mumbai

I graduated with a undergraduate degree in Electronics & Telecommunication Engineering. Found out about front line communication innovations and designing strategies.

Achievements

Achievements

Skills

My Skills

Generative AI and LLM (PaLM, BERT)

80%

Machine Learning (Python, R, Spark)

80%

Anomaly Detection and A/B Testing

85%

Database Systems (SQL, NoSQL)

90%

Statistics & Analysis (Stata, SAS, Excel)

95%

NLP & Time Series (NLTK, ARIMA)

90%

Data Visualizations (Tableau, PowerBI)

85%

Big Data (Scala, Hive, Hadoop)

80%

Projects

My Projects

Sign Language Interpreter using Deep Learning

Winner UNT Hackathon 2019
Python, Deep Learning, NLP

Identify Diabetic Patient Readmission

Academic Project
Python, Machine Learning, Flask

Air Passengers Time Series Analysis

Personal Project
ARIMA, Advanced Excel

Audit Risk Prediction for Financial Firm

Academic Project
Machine Learning

HR Application Database Design & Analysis

Personal Project
SQL, Excel

GPA Prediction using Random Forest

Analytics Challenge Winner
Python, Machine Learning, SQL

Contact

Contact Me

Address

7220 McCallum Blvd, Dallas TX 75252 USA

Contact Number

+1-469-380-3183