Jan 2024 – Jan 2025 · 1 yr · Bengaluru, Karnataka, India

• Anomaly/Fraud Detection Framework for Banking Industry

Jan 2023 – Jan 2024 · 1 yr · Bengaluru, Karnataka, India

• Revolutionizing Market Visibility at a CPG Giant
• For the Sales department of a CPG giant, addressed transparency challenges in the overall addressable market. Executed an MVP project with a team of three data scientists to improve market visibility, reduce reliance on distributors, and generate new leads. Implemented an advanced analytics framework featuring NLP techniques, empowering sales teams with valuable market insights. Developed a Qliksense dashboard displaying KPIs like Opportunity Score, Sales Potential Score, Premium Gap, and Projected Cases. This strategic initiative enables precise targeting of cross-sell and upsell opportunities, projecting a revenue potential of ~$1.5 million to ~$2 million. Additionally, integrated dynamic product recommendations to optimize engagements, enhancing the overall sales strategy, especially in the Education sector.
• Transforming Employee Referral Strategy at a CPG company
• For the HR department of a CPG company, implemented an innovative project to boost recruitment efforts. Developed an automated scraping framework to extract LinkedIn profiles of current employees with past work experience at targeted competitor companies. Leveraged Proxy Curl API to enrich employee profiles with comprehensive employment histories, integrating this data with current work information scraped from LinkedIn. Employed advanced cleaning techniques to refine the dataset, facilitating the identification of potential hires. The initiative, named "Talent Nexus," streamlines the referral process, empowering HR teams with a strategic approach to talent acquisition through employee networks.

Jan 2022 – Dec 2022 · 11 mos · Bengaluru, Karnataka, India

• CPG | Complaint Management
• For a leading CPG giant, optimized complaint management using advanced data science techniques. Utilizing NLP and Salesforce data, automated extraction, preprocessing, and categorization of complaints ensuring efficient handling of large datasets. This data-driven solution provided real-time insights, and sentiment analysis, and identified high-impact complaint categories.
• Impact: Empowered teams in customer relations and quality assurance, fostered proactive decision-making, resulting in an enhanced complaint management system, elevating customer satisfaction and product quality.
• Enhancing Tissue Softness in Manufacturing at a CPG Giant
• The Manufacturing department of a CPG giant faced challenges with tissue softness thresholds, resulting in frequent bundle discards. Implemented a regression-powered dashboard for real-time tissue softness predictions and alerts. Developed a system to monitor tissue softness during tissue paper manufacturing, analyzing data from 150 sensors. Constructed regression models and created a model accuracy lineage table to identify the best-performing model. Utilized Python for regression modeling and deployed the champion model for real-time softness prediction. Successfully piloted the project at one facility, with plans to scale it up, anticipating an estimated overall impact of approximately ~$756K.

Jan 2021 – Dec 2021 · 11 mos · Bengaluru, Karnataka, India

• CPG Client | HR Analytics Project
• Identified and addressed HR engagement gaps at a leading CPG giant. Applied advanced data clustering (K-means, hierarchical, DBSCAN) and PCA for segmentation. Developed a real-time Power BI dashboard tracking crucial KPIs—Email open rate, click-through rate, Engagement Index, and Collaboration Index. Result: 35% overall engagement increase through targeted communication initiatives.
• Transforming ESG Insight Management at chemical Company
• For R&D department of a Chemical company, Automated the process of gathering and analyzing ESG announcements from customers, competitors, and suppliers. Leveraging advanced technologies such as NLP and web scraping (Selenium, Beautiful Soup, Newspaper 3k), built a robust framework that efficiently extracts, cleans, and categorizes sustainability articles. The resulting dashboard offers real-time insights KPIs - Highest frequent chemical, Net Sentiment of Articals, and Buzzed chemicals across divisions. This helped the R&D teams, particularly customer relations and regulatory with quicker, data-driven actions without any manual intervention.

Jul 2019 – Mar 2020 · 8 mos

May 2019 – Jun 2019 · 1 mo