Ashish Sharma Email & Phone Number

Mumbai, Maharashtra, India

Mumbai, Maharashtra, India

• Managing projects such as Global Clustering and Customer Acquisition for Paytm Money, leading to improved customer segmentation and targeting customer acquisition strategies using unsupervised learning (K-means)• Developing a solution for new customer acquisition, optimizing the customer lifecycle at bottom funnel stages for Paytm Money

Mumbai, Maharashtra, India

• Conducted performance monitoring and reviewed fraud and credit risk predictive models for Citibank North America, ensured compliance with regulatory requirements and internal policies• Collaborated with model developers & stakeholders to identify areas for improvement and provided recommendations for model enhancements• Assessed the performance of various fraud and credit risk predictive models, provided valuable insights for model improvement and ensured compliance with regulatory… Show more • Conducted performance monitoring and reviewed fraud and credit risk predictive models for Citibank North America, ensured compliance with regulatory requirements and internal policies• Collaborated with model developers & stakeholders to identify areas for improvement and provided recommendations for model enhancements• Assessed the performance of various fraud and credit risk predictive models, provided valuable insights for model improvement and ensured compliance with regulatory requirements• Mentoring, guiding and train junior team members, fostering a culture of continuous learning and improvement Show less

Mumbai, Maharashtra, India

• Generated fraud rules, conducted fraud profile analysis, and developed predictive models for fraud detection using logistic regression, ensured the timely identification and mitigation of potential fraud risks• Collaborated with cross-functional teams to implement fraud detection strategies and continuously monitored their effectiveness• Developed & implemented predictive models for fraud detection which led to a significant reduction in fraud incidents and associated financial losses

Mumbai Area, India

• Constructed a Coke quality prediction ensemble by employing machine learning techniques in Python• Formulated parameter suggestions using the Bivariate Normal distribution to enhance the accuracy of coke quality digital twin for Tata Steel• Crafted ARIMA models to forecast Aluminium ore time series for Tata Steel• Executed Cluster Analysis to optimize Billet length for Tata Steel and utilized Cluster Analysis to detect potential population segments for network planning at Tata… Show more • Constructed a Coke quality prediction ensemble by employing machine learning techniques in Python• Formulated parameter suggestions using the Bivariate Normal distribution to enhance the accuracy of coke quality digital twin for Tata Steel• Crafted ARIMA models to forecast Aluminium ore time series for Tata Steel• Executed Cluster Analysis to optimize Billet length for Tata Steel and utilized Cluster Analysis to detect potential population segments for network planning at Tata Communications• Created Machine Learning and Statistical Models for motor insurance renewal and up-sell processes at Tata AIG; this involved offering data-driven insights, devising business strategies, and creating diverse statistical metrics to enhance model performance Show less

Mumbai Area, India

❖ Prepared PAN India business performance reports and facilitated MIS and ad hoc data requests, ensured timely and accurate reporting to support business decision-making❖ Developed customer behaviour matrix and built statistical models to understand customer movie selection behaviour, enabled the development of targeted marketing strategies

Mumbai Area, India

Risk Analytics, Risk Management and Fraud Monitoring Department. Analyzed identified existing and new risk by applying Pareto chart, Radar charts and study its regional distribution. Performed claim analysis to understanding claim experience for the past 3 years using Poisson distribution, empirical probability distribution. Identified various claim trend profile by analyzing policy level data through various distribution channel, regions, occupation class, policy premium… Show more Risk Analytics, Risk Management and Fraud Monitoring Department. Analyzed identified existing and new risk by applying Pareto chart, Radar charts and study its regional distribution. Performed claim analysis to understanding claim experience for the past 3 years using Poisson distribution, empirical probability distribution. Identified various claim trend profile by analyzing policy level data through various distribution channel, regions, occupation class, policy premium bracket, policy payment mode, Products. Identified Agents and Unit Managers with adverse claim ratio and suggesting straight actions. Identifying Deadman insurance policies, fraudulent KYC documents and highlighting them to management.  Used R software to segment claim experience using cluster analysis and used logistic regression/Neural Network/ Gradient Boosting Machine to find if a policy will give a fraud claim or not based on customer profile.  Developed predictive model for predicting early claims to at underwriting stage to aid underwriters using logistic regression model using R. Develop new statistical measurements and indices for better monitoring and management of intermediaries. Show less

Mumbai Area, India

Statistical Modelling and Machine Learning❖ Conducted market research on political party performance in Maharashtra, applied statistical analysis techniques to identify effective and least effective areas, and provided insights for strategic decision-making❖ Steered market research to analyse the performance of a political party in Maharashtra, provided valuable insights for strategic decision making and campaign planning

Mumbai Area, India

❖ Reinsurance process, computed reinsurance premiums for in-force policies, ensured accurate and timely processing of reinsurance transactions❖ Reinsurance process for in-force policies, ensured accurate computation of reinsurance premiums and timely processed transactions

Phd Scholar, Statistics

Master'S Degree, Computer Science (Specialization In Machine Learning)

Publication: Sharma, A., Salgaonkar, A. (2023). Raga Recognition Using Neural Networks and N-grams of Melodies. In: Salgaonkar, A..

Master'S Degree, Zoology (By Research)

Activities and Societies: Analysing 30 years of marine commercial fish landings at Alibag and developing a time series models viz..

Master Of Science (Msc), Statistics

Post Graduation Diploma In Applied Statistics With Software (P.G.D.A.S.S.), Statistics

Bachelor Of Science (Bsc), Statistics