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Abhishek Jain

@abhishek_jain

Data Scientist at TheMathCompany

New Delhi

https://github.com/abhishekdmc4/Lungs-abnormality-detection

TheMathCompanyIIIT, Bangalore

Abhishek Jain is a successful Data Scientist with experience solving complex organizational problems scientifically. He has expertise in developing advanced machine learning models, including CNNs, RNNs, and recommender systems. His skills span Python, PySpark, and various cloud/BI tools, enabling him to deliver measurable results in areas like process optimization and customer analysis.

Experience

Data Scientist

TheMathCompany

Full-timeJun 2021 - PresentBangalore

Developed tools for tire quality prediction and process optimization, estimating savings of 4M€ or ₹32CR per year. Built an analytical self-service dashboard for sealant compound analysis using laser sensor data, achieving a 97% increase in efficiency. Developed proxy logic for repeat customer identification and built a recommender system for funds based on investor demographics.

Analyst

Wipro

Full-timeNov 2019 - Jun 2021Noida

Created an end-to-end rolling 13 months workflow health dashboard in Tableau. Designed ETL workflows, leading to a 40% reduction in manual efforts. Created a Quality management tool in VBA with version control system, leading to a 74% increase in quality checks performed on reports.

Data Analyst

Nurtr

Full-timeSep 2018 - Oct 2019Gurugram

Managed database, created dashboards, and reports. Developed a Leads Classification machine learning model to predict cold or hot leads, increasing conversion rate from 40% to 70%. Implemented a CRM tool for sales team, resulting in 20% growth in upselling.

Education

IIIT, Bangalore

PGD in Data Science

Deep learning specialization

Mar 2020 - Mar 2021

IPEC

B.Tech

Aug 2013 - Jun 2017

Licenses & Certifications

Level N5 in Japanese Language

Ministry of Education, Japan

• No expiration

Skills

Python
Pyspark
Pandas
Numpy
Matplotlib
Seaborn
Ploty
Azure
Databricks
Data lake
Machine Learning
Deep Learning
SQL
Tableau
Computer vision
open cv
Flask
Alteryx
Ms Office
Google Data Studio
Power BI
Git
Web Scraping
Google App Script
Linear Regression
Logistic Regression
Ridge
Lasso
Elastic net
K-means Clustering
Hierarchical Clustering
Decision Trees
Random Forest
Xgboost
Catboost
ARIMA
SARIMA
SARIMAX
VAR
PCA
CNN
RNN
LSTM
GRU
transfer learning