Kshitij Lakade

Data Scientist

Bengaluru, Karnataka, India3 yrs 3 mos experience

Highly Stable

Key Highlights

Stackforce AI infers this person is a Fintech and AI Research specialist with a focus on machine learning applications.

Machine LearningDeep Learning

Binary ClassificationEmotionally Enhanced Talking Face GenerationExploratory Data AnalysisPySparkVideo Dataset Processing

3 yrs 3 mos

Total Experience

1 yr 4 mos

Average Tenure

Current Experience

May 2024 – Jul 2024 · 2 mos · Gurugram, Haryana, India · On-site

Conducted in-depth Exploratory Data Analysis(EDA) on new credit card users to detect Credit Card Gaming behaviour.
Processed large-scale datasets using PySpark and optimized performance through parallelization.
Designed and implemented an end-to-end Binary Classification ML model to detect Gaming behaviour, ensuring compliance through data quality checks, feature selection, hyperparameter tuning and model interpretability.

Exploratory Data AnalysisPySparkBinary ClassificationMachine Learning

Nov 2023 – Dec 2023 · 1 mo · Remote

Collaborated on the "Emotionally Enhanced Talking Face Generation" research paper at MIDAS Lab.
Enhanced face generation by retraining model on diverse MEAD dataset for pose invariance.
Optimized code for efficient 1TB+ video dataset processing and download via rate-limited API calls.

Deep LearningEmotionally Enhanced Talking Face GenerationVideo Dataset Processing

Apr 2021 – Apr 2024 · 3 yrs

Led a team of undergraduates at Data Science Group, IIT Roorkee, to delve into deep learning research and apply it to real-world AI projects. Through collaboration and innovation, we made complex information more accessible to a wider audience. See more at https://www.dsgiitr.in

Apr 2021 – Oct 2021 · 6 mos

In my role as a member of the Programming and Algorithms Group, I led teams to excel in competitive programming challenges, resulting in successful participation in national and international competitions.