Rishikesh Reddy
Summary
Business analytics expert with over 3 years of experience in global supply chain operations, skilled in transforming complex datasets into actionable insights. Proficient in Python, SQL, and AI-driven NLP models to enhance demand forecasting and optimize inventory resilience. Experienced in creating interactive Tableau and Power BI dashboards to streamline decision-making and automate workflows. Proven track record in driving operational efficiency and scaling data-driven SaaS solutions in pharmaceutical and technology sectors.
Overview
5
5
years of professional experience
Work History
Business Analyst
PSB Insights,LLC
New York, New York
01.2025 - Current
- Leveraged NLP models and sentiment analysis to process over 100,000 unstructured consumer data points, optimizing product and marketing strategies by approximately 14%.
- Designed and maintained interactive social listening dashboards in Tableau and Power BI, translating complex datasets into clear business recommendations.
- Collaborated with IT teams to develop AI-powered SaaS tools, enhancing exploratory data analysis and scaling consumer insight tracking capabilities by more than 28%.
- Executed end-to-end quantitative research pipelines using R and Python, improving reporting efficiency by 20% through macro-based workflow automations.
- Produced visual reports and presentations for senior leadership, facilitating accurate forecasting of economic shifts and expediting strategic decisions.
Supply Chain Analyst
MSN Laboratories Pvt.Ltd
Hyderabad, Telangana
07.2021 - 08.2023
- Developed a "rolling forecast" model using Python to account for 200% demand spikes in respiratory and anti-infective medications during COVID-19 waves, maintaining a 91% service level.
- Mitigated 2022 sea-freight bottlenecks by shifting 30% of high-value oncology shipments to strategic air-charters, reducing US-bound lead times by 12 days.
- Inventory Resilience: Conducted Safety Stock Optimization using SQL-based simulations to balance the risk of "API stockouts" vs. Inventory holding costs.
- Developed a Random Forest model via Python and SQL to predict US-bound shipment lead times during pandemic-related volatility. By integrating ERP data with global logistics signals, I improved OTIF delivery by 22% and reduced air-freight premiums by 15% through proactive carrier-switching and data-driven risk management.
Education
Master of Science - Business Analytics
Sacred Heart University
Fairfield, Connecticut, CT12-2024
Bachelor of Science - Business Administration
ICFAI University
Hyderabad, India04-2022
Skills
- Python programming
- SQL analysis
- Demand forecasting
- Supply chain optimization
- Inventory management
- Data analysis
- AI tool development
- Statistical modeling
- SAP
ACADEMIC PROJECTS
- Conducted EDA on historical stock data using Python and Pandas. Retrieved, cleaned, and transformed time-series data to analyze 2008 financial crisis volatility. Utilized statistical metrics and advanced visualizations to identify market trends and anomalies.
- Analyzed Bitcoin price trends (2000–2019) using Python and statistical modeling to identify key drivers. Developed Linear Regression models to forecast prices by integrating volume and sentiment data, utilizing advanced visualizations to highlight correlations and optimize investment strategies
Timeline
Business Analyst
PSB Insights,LLC
01.2025 - Current
Supply Chain Analyst
MSN Laboratories Pvt.Ltd
07.2021 - 08.2023
Master of Science - Business Analytics
Sacred Heart University
Bachelor of Science - Business Administration
ICFAI University