Manohar Reddy Email and Phone Number

⋄ AI Fulfillment Forecasting on Apple Accessories⋄ Responsible for building software to predict the demand for supportingaccessories for the iPhone Business and Identifying the highest priorities anddetermine which requirement are achievable and feasible. Worked closelywith Business Team which divided the entire business into 4 geographicalregion and identified 128 accessories that belong to a few product categorygroups (bracket, cable cleaning, Acrylic, etc⋄ Predicting the Claim Classification of Insurer through DRC Value⋄ The dataset from Connecticut’s insurance domain contains complaints andregulatory concern data. A Machine Learning model is proposed to classifythese complaints into three categories, predicting the appropriate degree ofregulatory concern. This classification problem helps businesses improvetheir standards and comply with laws and regulatory bodies, reducing theneed to analyze every complaint and rate each company’s compliance.

* worked on rule based approach and action sentence detection with ml algorithm Action Sentence Detection on Unsupervised Learning⋄ Worked on linguistic area to know how it can be utilized on the dependencytree and consistency tree which can be further related to predict whetherthe sentence is actionable or not . Worked in a Scrum team environmentand participated in backlog review and Sprint Planning session followingAgile Methodology. Followed an unsupervised approach of identifying tasksthat leverages dependency parsing and Verb Net Method. Observed thattasks can be identified based on the combination of thematic role of theperformer of a task, tenses, and other syntactic and semantic features;considered dependency parsing to extract syntactic features⋄ Job Cost for Work Order from Utility Company⋄ The study used standard measures to analyze pipe depth and materialusage by utility companies. An algorithm was developed to predict jobcosts related to data features. The data was transformed and validatedfor decision-making purposes. Results showed that repair of CI and STpipes is cheaper than replacement. Cast iron pipes had larger diametersin replacement processing. Regression models were introduced, with SVMbeing the best fit. Pivot tables were used to determine lower service andmaintenance costs for drinking-water pipelines.

⋄ Quality Cheeks and Analyzing Product Stock.⋄ The individual conducted primary and secondary research on varioustypes of agriculture seeds, focusing on crop yielding, duration, and price.They set up reporting systems, collected data, and used analytical skillsto understand its impact on business decisions. They successfully madeagreements with BASF SE, MONSANTO BAYER, UPL, PINOOER, SEEDWORKS,and NUNHEMS..