Akash Kalambe

 Mentored and administrated a set of car dealerships over 330 cars/month accounting for over $4.5 million in revenue, responsible for handling and elevating pan India biggest dealer (Landmark Honda) by engaging data science solutions based on customer 360-degree insights.  Influence stakeholders by presenting, recommending operational/strategic changes based on segment profitability, trend/performance/sales effectiveness, and competitor analysis, and convince them to implement suggested business strategies. Trend interpretation and outlier identification to Analyze loss trends and inventory supply to facilitate Executive reporting.  Assisted senior management to prepare winning strategies through analyzing various reports and data comparing business over time to identify any consistent results or trends and by using problem solving tools like Pareto analysis, Histogram, Scatter diagram and time series analysis.  Perform cost and benefit analysis and Recommendations to owners towards improvement of profit(P&L).

 Utilize analytical solutions (Time series forecasting, trend analysis, balance sheet analysis) to train & develop sales team on product features, pre-sales and processes. Analyze performance, identify roadblocks, suggest improvement measures to fetch paramount outcomes in business.  Partnered with management around prioritization and collaborated with project teams & clients to determine project goals and deliverables.  Time series analysis to review historical revenue results and detect patterns, trend analysis and balance sheet analysis.  Work with management to priorities and information needs.

 Achieved model wise tractor volume by implementing operational strategies at assigned dealers. Enabled Data acquisition from primary and secondary sources and maintain a data pipeline.  Acquire data from primary and secondary sources and maintain a data system.

Course Work : Data wrangling with R · Stat computing with Python · Data visualization with Tableau · Data managment with SQL · Machine Learning Algorithms · Logistics Regression · Linear Regression · Data Mining · Statistical Modeling · Marketing Reserach · Simulation · Optimization