Shobha Mandal
@shobhamandal
Data scientist delivering ML-driven revenue growth and forecasting solutions.
IndiaWhat I'm looking for
I am a data science engineer with experience building production ML systems that drive revenue and operational efficiency. At Texas Instruments I developed a ranking model to predict purchase intent probability based on customer behavioral data which increased customer-conversion and generated significant quarterly revenue.
My other project work include LSTM-based time-series forecasting for equipment failures and overhead-cost prediction across business units, delivering measurable cost optimizations and planning improvements. I have built fraud-detection systems using XGBoost and autoencoders, improving detection accuracy and reducing false positives.
I am proficient in Python(Pandas, Numpy, Scikit-learn, Tensorflow, Pytorch, NLTK, Dask, Scipy etc), SQL, Pyspark, applying machine learning algorithms on large-scale dataset for quantifiable business needs.
I am familiar with Apache Kafka, Airflow, Databricks and cloud platform like Azure.
I hold an MTech from Delhi technological University(DTU) and an engineering degree in ECE.
I am a proactive, disciplined, result oriented team player and like to expand my skills.
Experience
Work history, roles, and key accomplishments
Data Science Engineer
Texas Instruments
Mar 2022 - Present (4 years 3 months)
Developed a Lead Generator analyzing 500K+ quarterly user activity logs to uncover three major drop-off points, improving conversion rate by 14% and driving an additional $1.8M in quarterly revenue; built XGBoost overhead forecasting reducing RMSE by 5% and enabling $150K cost optimization.
Data Science Intern
Enfinite Technologies
Sep 2021 - Feb 2022 (5 months)
Developed an LSTM time-series forecasting model to predict critical equipment failures 15 days in advance using sensor and operational data, enabling proactive maintenance and reducing unplanned downtime.
Education
Degrees, certifications, and relevant coursework
Delhi Technological University
Master of Technology, VLSI Design and Embedded System
2017 - 2019
Activities and societies: Developed ML-based fraud detection using XGBoost and autoencoders; applied SMOTE and threshold optimization.
MTech in VLSI Design and Embedded System focused on machine learning applications and fraud detection projects.
Burdwan College of Engineering & Technology, West Bengal University of Technology
Bachelor of Technology, Electronics and Communication Engineering
2012 - 2016
BTech in Electronics and Communication Engineering completed with coursework and projects in embedded systems and machine learning.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Social media
Skills
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