Apr 2025 – Jul 2025 · 3 mos · Gurugram, Haryana, India · On-site

• Team management, Analytics and strategy

Nov 2023 – Mar 2025 · 1 yr 4 mos · Gurugram, Haryana, India · On-site

• > Automated daily operational processes, including MIS processing by leveraging Python scripts and merging Google Sheets for self-KPI tracking of brands, increasing efficiency by 40%.
• > Designed a dashboard for reconciliation of brands with their month-end MIS and invoices, which significantly reduced manual effort by eliminating the need to cross-check numbers with our CRM.
• > Migrated BI and visualization dashboards from Zoho Analytics to Amazon QuickSight, enhancing the quality and flexibility of reporting.
• >Prepared monthly performance reports for various categories to showcase key metrics and performance indicators for the brands associated with us.
• >> A/B testing

Aug 2022 – Nov 2023 · 1 yr 3 mos · Gurugram, Haryana, India · On-site

• > Made Credit Card Recommendation Engine to suggest the best suited Credit Card to maximize return on day to day spend.
• > Implemented automation processes that significantly reduced the manual tagging process duration from 30 days to just 2 days, resulting in substantial time and resource savings.
• > Successfully processed and annotated an extensive dataset comprising over 5 million SMS and emails.
• > Developed SMS tagging and SMS annotation models using a combination of SQL, PostGreSQL, Python, Machine Learning (ML), and Natural Language Processing (NLP) techniques.
• > Created Python rule-based codes for email annotation, streamlining the process of categorizing and tagging emails.
• > Acquired initial data and prepared high-quality training datasets for model development, ensuring data integrity and relevance.
• > Conducted data preprocessing tasks, including data cleaning, normalization, and feature engineering, to enhance the quality of the input data.

Jan 2022 – Jul 2022 · 6 mos · Gurugram, Haryana, India · On-site

• I was responsible for managing the company’s databases, ensuring data integrity, security, and overall performance. This included regular monitoring, troubleshooting, and fine-tuning of the systems. A big part of my role was collaborating with the marketing team, understanding their data needs, and using SQL via TablePlus to fetch the required data efficiently.
• In addition to data retrieval, I performed basic data analysis, summarizing key insights and generating reports to support informed decision-making. I worked closely with teams across the company, including IT and data engineering, to ensure smooth database operations that aligned with organizational goals.

May 2021 – Dec 2021 · 7 mos · Chandil, Jharkhand, India

• As a lecturer, I designed and delivered lectures, workshops, and hands-on sessions that were tailored to meet the needs of the students.
• Teaching required strong communication skills, and I focused on breaking down complex concepts in a way that was easy to understand. This not only helped students grasp the material but also improved my ability to explain ideas clearly.
• Outside of the classroom, I mentored students, offering guidance on academic and career matters, helping them choose research topics, prepare for exams, and navigate their studies. I also created assessments to measure their understanding and provided constructive feedback to help them improve.

May 2017 – Jun 2017 · 1 mo · Jamshedpur, Jharkhand, India

• > My primary responsibility was to analyze and optimize the industrial work layout, specifically focusing on the "Body in White" production line. I meticulously studied the existing layout, identifying inefficiencies and areas for improvement.
• > The automotive industry was transitioning to BS IV emission standards, which required significant changes in manufacturing processes. I played a pivotal role in reconfiguring the BIW line to meet these stringent norms, ensuring that our vehicles were compliant.
• > I assessed equipment placement and resource allocation, ensuring that machinery was strategically positioned to maximize workflow and minimize downtime. This contributed to cost savings and improved production output.