Sameer Nimse

• Led & supervised a 500+ member team, optimizing security operations with data-driven insights. • Automated ETL workflows, reducing incident response time by 30% through process optimization. • Built Airflow & Snowflake pipelines, ensuring 95% compliance with security regulations. • Developed Power BI dashboards, enhancing real-time monitoring and decision-making.

• Provided exceptional customer service to residents, visitors, and guests, ensuring a positive experience and addressing concerns promptly. • Acted as a reliable point of contact for students, the RSO, and university resources, facilitating productive communications and addressing inquiries promptly.

• Led the integration of 330+ sustainability indicators into a financial data ecosystem, ensuring seamless access for investors, ESG analysts, and chatbot users. These indicators were categorized under the United Nations' 17 Sustainable Development Goals (SDGs), covering key areas such as: 🔹 Climate Action – CO₂ Emissions (Scope 1, 2, 3), Renewable Energy Usage, Carbon Footprint Reduction 🔹 Gender Equality – Female Board Representation, Pay Equity Metrics, Workforce Diversity 🔹 Responsible Consumption & Production – Waste Management Efficiency, Water Usage Reduction, Circular Economy Practices • Integrated company-level financial data into the ESG ecosystem, linking sustainability indicators with: 🔹 ISIN (International Securities Identification Number) for tracking investments 🔹 Holding Types (Sovereign Bonds, Mortgages, Common Shares) to categorize asset allocations 🔹 Industry & Sub-Industry Classification for sectoral impact assessments 🔹 RIC (Reuters Instrument Code) & Ticker Symbols to enable seamless financial data retrieval • Enhanced financial chatbot ('ImpactChat') by integrating text embeddings and data vectorization, leading to a 90% improvement in sustainability scoring accuracy and enabling real-time ESG/SDG analytics for investors. • Integrated a Large Language Model (LLM) using LangChain and OpenAI into the chatbot framework, improving user engagement by 50% and driving a higher retention rate of repeat inquiries for sustainability-focused financial decision-making. • Orchestrated the migration of 170+ million financial and sustainability data points, ensuring comprehensive data coverage, integrity, and scalability for ESG-compliant investment strategies. • Optimized SQL-based data retrieval, reducing query execution time by 50%, improving accessibility of impact-driven financial insights for stakeholders.

• Utilized Tableau dashboards to perform in-depth analysis on 11 Ad-campaigns for the Facebook Superhero U competition. • Played a key role in data-driven decision-making for campaign discontinuation, relying on crucial Facebook Ad-metrics such as Reach, Impressions, Frequency, Cost per Click, Click Through Rate, and Cost per Result. • Led a comprehensive analysis that resulted in substantial cost savings of 1 million Dollars for the organization, demonstrating a strong proficiency in data analysis and cost optimization.

• Conducted in-depth Exploratory Data Analysis (EDA) on a sample store dataset using Python, ensuring rapid customer response in a fast-paced, detail-oriented environment. • Leveraged Python libraries (NumPy, pandas, matplotlib, seaborn) for advanced data visualization, delivering effective solutions to complex problems. • Collaborated closely with stakeholders to understand and address their needs, ensuring that the analysis provided actionable insights for informed decision-making. • Extracted critical business insights by characterizing influential factors affecting dataset dynamics and profits, enabling data-driven solutions to pressing challenges.

• Reduced zinc waste by 20% by architecting and launching interactive dashboards in Power BI and Tableau, enabling real-time monitoring of consumption patterns, coating uniformity, and energy efficiency across galvanizing lines. • Enhanced reporting efficiency by 30% through the development of advanced Excel-based tools utilizing Power Query, PivotTables, and VLOOKUP, streamlining the consolidation of production, supply chain, and cost data for improved operational and financial visibility. • Led stakeholder engagement sessions, translating complex dashboard insights into actionable strategies, fostering improved alignment across quality control, procurement, and compliance departments. • Supported executive decision-making by presenting high-impact dashboards during leadership reviews, highlighting zinc usage trends and energy cost metrics that guided three key strategic procurement and resource initiatives.

Coursework: Advance Big Data Application and Indexing Techniques Advances in Data Science Architecture Applied Machine Learning in Fintech Designing Data Architecture and Business Intelligence Data Science Engineering Methods and Tools Program Structure and Algorithms Data Management and Database Design Application Engineering Development