multitasking, working hard, stress-7303815.jpg
About me

Data-driven problem solver with a passion for machine learning and a knack for creative solutions.

I find patterns in the chaos: Delivering data-driven solutions for real-world impact.

Embark on a journey with a data whisperer, a coding conjurer, and a tech maestro rolled into one! From unraveling the secrets of geospatial data at the United Nations to orchestrating financial market symphonies at a fintech startup, I’ve traversed the digital cosmos, leaving trails of innovation and impact in my wake. Armed with a Master’s in Computer Science (Machine Learning) from Columbia University and battle-tested in the trenches of data science at JPMorgan Chase & Co and Columbia University Irving Medical Center, I’m your go-to guru for all things data-driven and algorithmic! So buckle up, because we’re about to dive deep into the realm where bytes meet brilliance!

Beyond my data-centric pursuits, I immerse myself in culinary experiments, capture life’s moments through photography, unwind with guitar melodies, stay active through skating, sketch whimsical creations, and maintain fitness through running.

My Skills

I strive to have a broad understanding of various subjects and fields, while also focusing on a specific area to attain mastery and expertise. This philosophy encourages continuous learning and personal growth, helping me develop a diverse range of skills and knowledge.

Data Science
Machine Learning
Computer Vision
Data Analytics


Dec 2023 - May 2024

Columbia Irving Medical Center

New York City

Data scientist

Curated a 3,390-frame dataset consisting of ultrasound images collected during infant lumbar punctures; developed a deep learning model to identify ares of interest (spinal cord, fluid area, non-fluid areas) in ultrasound images in infants; currently involved in implementing MLOps for improved diagnostic precision in lumbar punctures.

June 2023 - Aug 2023


Data scientist intern

Played a pivotal role at a Fintech Startup as a Machine Learning Intern, leading the integration of advanced ML models to enhance trade strategies by 15%, and boosting data processing efficiency by 25% through the development of scalable real-time market data pipelines.

Jan 2022 - Jun 2022

JP Morgan Chase & Co.


Expertly enhanced the in-house workforce efficiency from 30% to 60% as a Data Analyst Intern, streamlined ETL processes by integrating six Alteryx workflows to reduce manual efforts by 35%, and significantly expedited onboarding by mentoring multiple interns in Agile methodologies, Python, and SQL.

Jan 2021 - Mar 2021

United Nation GEOLDN


Worked on computer vision models to predict land degradation neutrality, specializing in geospatial data analysis. Enhanced performance of the prediction models by a significant 2% precision improvement along with expediting implementation processes by 45% by developing an open source plugin.


Dec 17, 2021

AGU Fall Meeting 2021, held in New Orleans, LA 

Dec 12, 2021

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy | Springer


2022 - 2023

Columbia University | New York City

Masters in computer science (machine learning track)

Courses: Empirical Methods of Data Science, Deep Learning for Computer Vision, Applied Forecasting Techniques, Natural Language Processing, Artificial Intelligence

2018 - 2022

Thapar Institute | Patiala, India

Bachelors in computer science and engineering

Courses: Probability and Statistics, Data Science Fundamentals, Machine Learning, Object Oriented Programming, Numerical Analysis, Database Management Systems