Employment History

Duration: April, 2025 - Present
Position: Associate Manager, R&D (AI & ML)
Responsibilities:

Designing and implementing Machine Learning models for predictive analytics
Building and optimizing data pipelines for efficient preprocessing, feature engineering, and model training
Fine-tuning predictive models to enhance accuracy while adhering to banking policies
Researching cutting-edge AI advancements and applying them to real-world problems
Implementing and maintaining AI/ML solutions, ensuring compliance with data security and regulatory standards

Duration: February, 2024 - April, 2025
Position: Senior Data Analyst
Responsibilities:

Conducted exploratory data analysis (EDA) to derive actionable insights from raw data.
Developed interactive dashboards using Metabase to monitor key metrics and trends.
Collaborated with cross‑functional teams to translate business requirements into comprehensive dashboard solutions.
Researched and implemented database replication solutions for MySQL and PostgreSQL databases.
Utilized AWS Database Migration Service (DMS) for efficient data replication tasks.
Created Data Flow Diagrams (DFDs) to maintain clear documentation of the process.
Automated data processing tasks by developing R scripts deployed on server machines.

Duration: June, 2023 - January, 2024
Position: Team Lead (Data)
Responsibilities:

Managing the Data team by maintaining day to day tasks
Maintaining accurate records of participants in the 401(k) plans.
Engaged in continuous support ticket resolution, performing daily maintenance tasks associated with Relius/Crystal Report.
Develop database functions, scripts, stored procedures and triggers to support application development
Analyzing data to assess the performance of various investment options available within the 401(k) plans and providing insights to plan administrators.
Working with cross-functional teams to address data-related challenges andsupport decision-making processes.
Generating reports for plan sponsors and participants to ensure compliance with legal requirements and to monitor the plan’s performance.

Duration: August, 2021 - May, 2023
Position: Data Analyst
Responsibilities:

Developing Crystal Report/API for data migration, scrubbing & map file to integrate with different stakeholder’s system
Working on ongoing Support ticket, day to day maintenance, scheduled/on-demand process upgrade related to Relius/Crystal Report
Write programming scripts to enhance functionality and performance of company applications
Develop database functions, scripts, stored procedures and triggers to support application development
Implementing and troubleshooting third-party integrations that accurately transfers data among multiple systems
Configuring STP jobs in Relius Administration
Providing admin supports for Salesforce
Develop new mapped feed file and integrations with the Custodian platform to support different advisor/client

Duration: December, 2020 - July, 2021
Position: Associate Data Analyst (TallyKhata Team)
Responsibilities:

Analyzing databases and make reports related to the analyzed information
Creating Dashboard Using Google Data Studio
Development of Python Script for ETL (Extract, Transform and Load)
Working with the business or the management team to establish business needs
Developing SQL script, PL/SQL functions for easy reporting and analysis
Providing technical expertise in data storage analysis, data mining, and data cleansing
Investor report preparation and dashboard development for the board meeting
Growth hacking idea generation and discovering business insights
Assessing campaign modality, generate and communicate data for the campaign operation
Generating weekly/monthly cohort report and visualize growth tendency
Developing automatic script using Python for data extraction and email generation
Building Machine Learning models to predict different user categories

Duration: March, 2020 - December, 2020
Position: Research & Data Analyst
Responsibilities:

Development of research projects along with make it a publication
Guiding, training, and advising junior researchers
Collecting, organizing, and interpreting different organizational data
Analyzing the data for making organizational decisions
Build different Machine Learning, Neural Network models for different research work

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