Sep 2024 – May 2025 · 8 mos · On-site

Mar 2024 – Sep 2024 · 6 mos · On-site

• Designed and implemented efficient ETL pipelines using Python, Pandas, Excel, and SQL to ensure data consistency and reduce processing time by 25%, supporting large-scale energy datasets.
• Utilized MATLAB to perform hourly simulations for heating and cooling load calculations, enabling precise assessment of energy demand, waste energy, and rejected heat across building systems.
• Developed and deployed machine learning models with scikit-learn and TensorFlow to optimize energy consumption, leading to a 15% reduction in operational costs; managed end-to-end workflows using Jupyter Notebooks.
• Created interactive Power BI dashboards and strategic decarbonization reports for real-time energy monitoring and ESG compliance, collaborating closely with stakeholders for impactful decision-making.

Oct 2023 – Mar 2024 · 5 mos · Ahmedabad, Gujarat, India · On-site

• Conducted data analysis and applied statistical models to enhance decision-making processes.
• Developed automated reports and dashboards for real-time monitoring of key performance metrics.
• Collaborated with cross-functional teams to identify and implement process improvements, increasing operational efficiency.
• Ensured data accuracy, integrity, and security while optimizing data processes for organizational efficiency.

May 2022 – Oct 2023 · 1 yr 5 mos · India · Remote

• Enhanced sales efficiency and profitability by 8% through adept application of logistic regression to optimize customer preference predictions.
• Implemented a rapid script for identifying high-loss products and automated inventory updates using Excel and Access.
• Developed an update process that rolled out changes to all systems at once, reducing downtime and streamlining warehouse operations.
• Designed statistical analysis for large customer data sets, lowering cart abandonment rates by -27%.

Nov 2021 – Apr 2022 · 5 mos · India · Remote

• Utilize regression models to provide key decisions for the rollout of new discounts increasing impact by 5% for millions of customers.
• Automated and scheduled creation and distribution of reports using Python and SQL and saving 10 people hours per week.
• Employed SQL and Python to cut third-party report ordering costs by 20% by identifying and minimizing unnecessary requests, while also establishing post-monitoring dashboards for key products via SQL queries and Excel-Snowflake integration.
• Outputted regular data reports pulling from multiple databases to identify thousands of records of unwanted business per week.

Jun 2021 – Sep 2021 · 3 mos · Bengaluru, Karnataka, India

• Identified and solved complex business problems, leading to a 15% increase in company revenue.
• Conducted data analysis that improved operational efficiency, resulting in a 20% reduction in production costs.
• Produced visually compelling graphs, charts, and visualizations using specialized software, enhancing data comprehension by 30% and driving informed decision-making.

May 2019 – Jun 2019 · 1 mo · Nagpur, Maharashtra, India · On-site

• Programming and configuring IoT devices and gateways
• Conducting tests to ensure that IoT systems and devices are functioning as intended
• Collecting and analyzing data generated by IoT devices to identify patterns and trends
• Presenting findings and recommendations to team members and stakeholders
• Participating in team meetings and collaborating with team members to complete projects.