• Designed and automated innovative ML based solutions for varied clients of size $4Billion+ across multiple Industries to address complex business problems, productivity and process improvement as well as marketing strategies • Built one of its kind ML prediction model for tyre end of life to recommend client optimal cost per km for their respective fleet vendors• Translated benefits of ML technology for non-technical audience, including cost/benefit analyses • Assisted actively to the pitching team with pre-kick off project requisites for multiple clients with secondary research, data harmonization and structured data analysis • Coached, developed and motivated team members on analytical tools and techniques to maximize agility.

• Led the development of a recommendation engine using advance multi objective optimization algorithm for a leading construction engineering company of size $1.3Billion. Overall benefit of ~100million was realized• Developed a forecasting tool to predict steel commodity price using time series technique ARIMAX along with ML algorithms namely Random Forest and Gradient Boosting, considering demand, supply and macroeconomic factors • Designed and built a commodity price forecasting tool in partnership with Google Cloud Platform team, a plug and play bolt-on product with short implementation cycle (reduced up to 60% from standard turnaround)

• Involved in leading and developing advance and predictive driven analytical solutions for engagements across EY global practice offices • Built the text analytics-based solutions for a pharmaceutical giant which involves generating themes, sentiments and other text analysis for extracting relevant information from web published articles/generals • Built a predictive driven ML analytics tool using time series forecasting methodology (SARIMAX) identifying important economic drivers affecting sales in various sectors like Retail, Hospitality across 10+ countries• Developed a Logistic Regression Model for a multinational bank to analyze the customer payment behavior towards home loan repayment • Worked on a merger deal in CPG Sector where devised a strategy for identifying price variances between the target and acquirer products

• Worked on Spare Parts Management & Inventory Optimization domain and developed various solutions to forecast spare parts demand and optimize the service parts supply chain based on client’s business need• Integrate product interface with the external data sources using data transformation mapping• Secondment to Israel to assess the technical transition between overseas and home office

Experience in implementing solutions around PTC SLM enterprise products. Specialises in technical and service parts information domain - Understanding client business and requirements, problems identification, analysing understanding and preparing data. Also involved in providing training sessions to co-employees.

Worked on in-house project of NIC as a team lead of interns. Responsible for designing and developing the system as per business requirement.