May 2024 – Jul 2025 · 1 yr 2 mos · Mumbai, Maharashtra, India · On-site

• Leading ML and GenAI Projects from Scratch to Deployment phase, and work closely with business and policy team to enhance Product Lifecycle and Customer Journey using Analytics and Machine Learning.
• 1. PL-BL and CC Product Portfolio Analysis after Policy Change to check the Bad Rate Impact and suggest changes as per analysis in 1 Week TAT.
• 2. Building ML Modelling and Validation Framework for Propensity Models.
• 3. Enhance Feature Creation Pipeline with TAT improve from 10 Hours to 2 Hours on 1 Cr Base.
• 4. Develop Personalised Financial Health Credit Report using Python and GenAI capabilities and Implement in PL Product journeys with approval rate of 83% for disbursed and 67% for rejected customers.
• 5. Develop Business Loan Propensity Model with AUC 75%+ and KS 28+ to improve customer targeting campaigns and performance marketing.
• 6. Automate Daily MIS generation process using Python and Insight Generation Dashboard with Plotly and Hugging Face Small Language Model.
• 7. Developed Fraud Detection Framework using Deep Learning algorithms and Vector Search Capabilities for better feature analysis and implemented in Loan Journey to detect fraud customers. Decreased fraud by 79% in Q42024.

Jan 2023 – May 2024 · 1 yr 4 mos · Gurugram, Haryana, India · On-site

• 1. Develop and implement data-driven solutions for risk management, claim prediction, predictive modeling, and forecasting.
• 2. Analyze large datasets, build predictive models, and develop dashboards and reports.
• 3. Worked as a Risk Analyst and Data Scientist on Credit Risk Modelling Project (Acquisition Scorecard and Behavioural Scorecard) for NBFC and Completed the Project with Behavioural Scorecard and 85% Efficiency.
• 4. Handle GBs of Data using SQL and PySpark for Financial Data Analysis and Decrease the Risk by 16.5 CR using Predictive Modelling.
• 5. Provide strategic recommendations to clients to drive growth and profitability in the insurance industry.

Dec 2021 – Jan 2023 · 1 yr 1 mo

• Demonstrated exceptional performance and was promoted from TCS Ninja to TCS Digital.
• Acquired Microsoft Azure AZ-900 Certification and currently acquiring technical skills to become an Azure Data Scientist.
• Successfully executed a Proof-of-Concept (POC) for Impact Prediction. I leveraged Python and Data Analysis libraries to analyze Impact Analysis data and made it suitable for Classification Algorithm. By implementing Feature Engineering techniques, I developed a model that accurately predicted the top 5 impacted modules based on probabilities.
• Employed Apache Spark to migrate data from diverse resources including Oracle, MySQL, Data Lakes, and Data Warehouses to DB2.
• Developed and enhanced Machine Learning Models for Market Analysis, Customer Segmentation, and Fraud Detection.
• Utilized Python and Power BI to analyze financial datasets, generate insights, and identify patterns. Conducted Data Cleaning and Data Pre-Processing of data from multiple sources.

Jul 2020 – Dec 2021 · 1 yr 5 mos

• 1. Ensured 100% stability in critical modules ACH, ATM and Alerts by conducting thorough root cause analysis and implementing effective solutions in TCS Bancs for US CLOUD.
• 2. Achieved 100% data validation for Year End 2020 through comprehensive data analysis and transformation.
• 3. Developed process improvement scripts to automate manual regression tasks, resulting in significant time and cost savings.
• 4. Led end-to-end functional analysis and requirement gathering, and streamlined US banking modules through efficient data analysis and transformation.
• 5. Spearheaded the POC for automating data validation and ingestion tasks using Python and data analysis libraries, resulting in efficient month-end and year-end data cleaning and validation, and data ingestion using shell script.

Jul 2019 – Jul 2020 · 1 yr

• Archived Maximum Stability for US Banking ATM and Financial Alerts for TCS Bancs.
• Configured and Enhance Automation Suit using Selenium and Java.
• Got Exposure to US Banking Modules Learn 10 Module in this time Period upto the Functional Level that includes - Deposits, Loans, ATM, NSF and Exceptions, Batch Processing, ATM, and Check Processing.

Jan 2019 – Jun 2019 · 5 mos · Mohali

• 1. Trained in Python with Data Science and Big Data ( Hadoop ).
• 2. Develop Project based on Data Analysis, Data Visualization, Data Modeling and Deployment named as AMPS (Automatic Modelling and Prediction System).
• 3. AMPS can perform all the Data Science Steps using User-Interactive Interface.

Aug 2018 – Jun 2019 · 10 mos · Mumbai, Maharashtra, India

• 1. Successfully completed multiple freelance projects on Data Analysis and Data Visualization using Python and R Language for clients across different industries including healthcare, finance, and e-commerce.
• 2. Proven track record in teaching Python, Data Science, and Machine Learning to students of different skill levels. Instructed on all steps of Data Science, from Data Mining to Data Modeling and Project Deployment, utilizing advanced tools such as Kubernates and GitHub.
• 3. Conducted in-depth case studies on complex Statistical and Probability themes, delivering actionable insights to clients.
• 4. Demonstrated expertise in building user-friendly UI for Data Science Projects using Python's Flask framework.
• 5. Built custom Desktop Applications for clients using Python and Java, integrating cutting-edge data analysis and machine learning algorithms. Additional skills include advanced proficiency in SQL, Tableau, and Power BI.

Jun 2010 – Aug 2018 · 8 yrs 2 mos · Ludhiana Area, India

• I worked here as a Computer Hardware Engineer. I have done work with Computer Assembling to Troubleshooting, DOS-Based Operating System, and Windows98 Supported Embroidery Machines.