Aug 2023 – Dec 2023 · 4 mos · DeKalb, Illinois, United States · Hybrid

• Implemented data visualization tools to present complex data in a clear and compelling manner, facilitating data-driven decision-making across the organization.
• Conducted competitor analysis to benchmark Silverthorne's performance against industry standards, identifying areas for improvement.
• Developed segmentation models to better understand customer behavior and preferences, enabling more effective targeting strategies.
• Participated in strategic planning sessions, contributing data-driven insights to support long-term growth initiatives.

Oct 2022 – Jul 2024 · 1 yr 9 mos · DeKalb, Illinois, United States

• Conducted a feasibility study for a solid waste management plan, utilizing machine learning to develop a comprehensive framework analyzing factors influencing annual municipal solid waste generation.
• Collaborated with researchers to understand reporting requirements and implemented effective Business Intelligence solutions.
• Designed and implemented advanced data models for analyzing lung cancer prevalence and treatment strategies, employing TensorFlow, Keras, and CNN models pretrained on satellite imagery for detection.
• Employed data analysis techniques to create impactful visualizations of quantitative information for stakeholder presentations.
• Conducted thorough literature reviews and synthesized findings to guide research methodologies and study designs.

Apr 2019 – Jul 2022 · 3 yrs 3 mos · Hyderabad, Telangana, India · Hybrid

• Collaborated with cross-functional teams to gather, clean, and organize data from various sources, ensuring data accuracy and consistency.
• Achieved proficiency in Power BI, Python, SQL, ML, DL, ADLS Gen2.
• Developed interactive Power BI dashboards and reports for real-time sales and marketing performance tracking
• Developed ML models for time series forecasting to enhance revenue, sales, and financial strategies.
• Managed multiple data analytics projects, communicating progress to stakeholders & presenting findings effectively.
• Utilized agile scrum methods, collaborating with cross-functional teams to develop and deploy Machine Learning ML models in production, reducing manual processes, enhancing efficiency.

Jul 2018 – Mar 2019 · 8 mos · Hyderabad Area, India · On-site

• Enhanced listing data accuracy, minimizing database discrepancies significantly for over 200 sellers.
• Analyzed data to identify customer purchase patterns and preferences, informing targeted marketing strategies.
• Partnered with sellers to deploy data-driven marketing campaigns, leading to a 25% surge in engagement metrics.
• Executed seller-tailored data analytics for inventory management, reducing stockouts and optimizing levels.
• Conducted regular data audits to ensure compliance with data quality standards and regulations.

Jun 2014 – Dec 2014 · 6 mos