Ramnivas Jat
Noida
Summary
Data Scientist and Analyst with 1+ years of experience in predictive modeling, machine learning, and statistical analysis. Skilled in optimizing Python tools, reducing development time, and delivering data-driven solutions. Experienced in automating complex processes with a focus on accuracy and efficiency. MTech graduate from IIT Kanpur with a strong foundation in advanced analytics, recognized for adaptability and leadership.
Overview
2
2
years of professional experience
Work History
Graduate Analyst (Model Developer)
Barclays
Noida
2023.01 - Current
- Contributed to the development of predictive models projecting 27-month balances for Barclays credit cards under CCAR stress test scenarios, using macroeconomic variables and business insights.
- Assisted in validating models through the Independent Validation Unit (IVU), ensuring accuracy and regulatory compliance.
- Participated in the implementation of developed models and the updating of Python packages for the latest implementation cycles under senior guidance.
- Optimized a Python package for model development, improving efficiency by 50% and adding new features to enhance functionality.
- Standardized the model development process by preparing Jupyter notebooks, ensuring uniformity across the team.
- Took part in a generative AI hackathon, creating a chatbot to retrieve answers from company Confluence pages, recognized by senior leadership for its innovation.As a Graduate Analyst specializing in model development and Python package optimization, I developed predictive models for CCAR stress test evaluations, optimized Python tools, and standardized the model development process, significantly reducing development time while maintaining accuracy.
Data Analytics and Innovation Intern
IBSFINtech
2022.05 - 2022.07
- Led a project to classify transaction amounts from bank statements as a Data Analytics and Innovation Intern at IBSFINtech.
- Utilized OCR technology for text extraction, followed by data cleaning and normalization.
- Applied feature engineering using TensorFlow's Universal Sentence Encoder to process transaction data.
- Addressed class imbalance with SMOTE and implemented Naïve Bayes, SVM, and Random Forest models.
- Achieved 99% accuracy and a 98% F-1 score in automating the classification process.
- Enhanced decision-making capabilities through the automation of transaction classifications.
Education
M.Tech - Industrial Management Engineering
Indian Institute of Technology, Kanpur
2023-07
Skills
- Data Visualization
- Statistical Modeling and Analysis
- Deep Learning
- Machine Learning
- Excel
- SQL
- Quantitative Analysis
- Python Programming
Accomplishments
- Departmental Post Graduate Committee Student Nominee, M. Tech IME IIT Kanpur.
- Achieved 99.5 percentile with an All-India Rank (AIR) of 580 among 1.2 lakhs students appeared in GATE 2021(ME).
Timeline
Graduate Analyst (Model Developer)
Barclays
2023.01 - Current
Data Analytics and Innovation Intern
IBSFINtech
2022.05 - 2022.07
M.Tech - Industrial Management Engineering
Indian Institute of Technology, Kanpur
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