Explore my diverse work experience where I have harnessed cutting-edge technologies and analytical techniques to drive innovation and efficiency. My career has been marked by a commitment to delivering impactful solutions and advancing technological frontiers across various domains.

Chalk Digital


Data Scientist
(September 2024 - Present)

San Diego, CA, USA (Remote)

  • Designed and implemented machine learning prediction models for fraud detection and risk analysis, processing 150K requests per millisecond, optimizing real-time bidding processes to be more efficient and faster for advertising platform.
  • Leveraged Hadoop for big data processing to manage and process 12 billion requests daily, utilizing cloud platforms (AWS and GCP) for data retrieval, preventing fraudulent ads in real-time, improving business efficiency and risk measures by 15%.
  • Employed Kafka for real-time monitoring and Tableau for performance visualization for decision-making and system optimization.

  • Skills: Python Programming, SQL, Tableau, AWS, Big Data, Real-Time Bidding Optimization, Fraud Detection

Schneider Electric


Quality Data Analytics Co-op
(September 2023 - January 2024)

Middletown, PA, USA (Onsite)


  • Developed and executed data-driven solutions using Python, SQL, Macros on cloud-based solutions (Databricks & Salesforce) to have rigid data pipeline for Supply Chain Quality team.
  • Collaborated in continuous improvement initiatives, enhancing process efficiency and product quality; worked on PFMEA activities, create PRBs, and improve timely process.
  • Utilized Tableau to create dashboards, reports and set subscriptions for business leaders, providing daily insights.
  • Established measurable KPIs, reducing customer complaints by 40% and reducing CR response time by 4 hours by streamlining SAP order processes.

  • Skills: Python Programming, SQL, Tableau, Databricks, Macros, Salesforce, Microsoft Office, PFMEA

Northeastern University


Machine Learning Teaching Assistant
(January 2024 - July 2024)

Boston, MA, USA (Onsite)


  • Conducted sessions for 150+ students in building Statistical models (Regression and Classification) from scratch, underlying the fundamentals of model development, and emphasizing core Machine Learning principles.
  • Facilitated Python labs for students to enhance programming skills for statistical modeling without native libraries.
  • Assisted satudents to develop and deploy machine learning algorithms to analyze large datasets, resulting in actionable insights and improved decision-making processes.

  • Skills: Machine Learning, Statistical Modeling, Python Programming, Jupyter Notebooks, Large Datasets, Curriculum Development

Valency Organics


Data Analyst
(January 2022 - June 2022)

Gurugram, Haryana, India (Hybrid)

  • Engineered and optimized data pipelines using MySQL for comprehensive ETL/ELT processes, significantly enhancing data accessibility and automating order sales processes, resulting in streamlined operations and reduced latenc.
  • Designed and developed sophisticated dashboards in Tableau, enabling the extraction of actionable financial insights, trend analysis, and accurate sales forecasting, thereby supporting strategic business decisions.
  • Implemented advanced ad-hoc analytics methodologies, achieving a 45% increase in business process efficiency by identifying key performance areas and deploying targeted optimization strategies.

  • Skills: Data Analysis, SQL, Tableau, ETL/ELT, Excel, Ad-hoc Analytics, Forecasting, Price Analysis

Graphic Era University


Data Science Research Assistant
(September 2020 - December 2021)

Dehradun, Uttarakhand, India (Onsite)


  • Enhanced Python scripts for Image Processing (Classification) in healthcare to identify real-time 10,000 COVID cases.
  • Designed a self-Neural Network and compared the performance with other Deep learning models achieving 85.86% accuracy.
  • Implemented a machine learning pipeline for data preprocessing, model training, and evaluation, significantly reducing the time required to develop and test new models.

  • Skills: Machine Learning, Deep Learning, Python Programming, Jupyter Notebooks, Data Processing