Deep Maity Email & Phone Number

Hyderabad, In

Hyderabad, Telangana, India

Pune, Maharashtra, India

India

• Data Analytics - developed intricate analytics to understand business problems by applying deep-dive data mining and cleaning techniques and statistical/predictive modeling; interpreted trends/insights leading to data observation and analytical results with different perspectives using analysis python, R, SAS/SQL/STATA packages and advanced tableau/power BI visualization software• Management consulting – scaled up insight generation by 10-15% quarterly through interaction with clients, scenario analysis and business problems mapping to data, effectively developing effective proof of concept (PoC)• Proficient with statistical/machine learning domain: linear/logistic regression, classification and cluster analysis, KNN, random forest, gradient booster classifier, decision tree, neural networks; basic/learning knowledge of natural language processing/text analytics/sentiment analysis • Earned grants in the range of Rupees 1 Million (Rs. 10,00,000) and 3 Million (Rs. 30,00,000) to supervise projects• Steered data collection and statistical modelling strategies on commercial/government websites such as Thomson Reuters Eikon, Factiva, Lexis Nexis, Bloomberg, SDC Platinum, Prowess and Prowess IQ, WRDS, S&P Capital, Capitaline

Hyderabad Area, India

• Acted as an intermediate between the research and development team and the business owners for functional data analytics and appropriate insight generation• Collaborated and built relationships with internal & external partners including strategic consultants, business clients and fellow research institutes (IIM/IIT) for developing business insights • Identified and implemented process modifications to new & existing business development features imperative to the growth strategy in regional business units & industries• Suggested innovative solutions and drove development towards niche domain expertise on process design ond optimization from concept to commercialisation by using data analysis & informatics tools• Developed business solutions by connecting stakeholder queries with business insights generated from data and applied statistical & mathematical methodsHighlights:• Promoted, within 3 months of hire, to the position of business research executive (research associate) from the role of Research Assistant; assigned project management/predictive modelling duties• Achieved 5% to 10% budgeted time savings for high-level projects worth median $15,000 • Improved 15% operational efficiency by jointly running predictive analytics/modelling on database with Python and statistical softwares such as STATA/SAS and visualization with Tableau• Saved $4000 annually by documenting codes and data houses for future recycle/reuse• Secured future client/stakeholder sponsored projects by reducing current project budget by $3000 annually• Achieved data quality assurance by experimenting on several features in the machine learning model• Implemented hypothesis test on diverse data warehouses and summarized insights using statistics• Earned highest TOEFL score (Overall – 100/120) among 25 trainees in the company owing to effective communication skills

Dubai, United Arab Emirates

• Saved:o $50000 by avoiding breakdown maintenance with the help of predictive analysis by using Database Management System (DBMS)o $20000 annually by following best practices and troubleshooting techniques to resolve machinery issues• Earned 10% increase in share of company policy recommendation committee for skills of building a sharp response team to manage emergencies at sea• Secured a Rank 2 board position in the fuel-analysis/bunkering management by analysing features such as quality of fuel, cost of bunker fuel, machinery running hours and maintenance intervals• Saved millions of dollars worth of machinery and equipment by reporting violations of regulations, applicable laws, & company policies immediately & took appropriate action• Collaborated with company safety officers to discuss and implement safety procedures and spread contingency plans for dangerous cargo spills awareness among crew members• Analysed and upgraded performance log and periodic maintenance through data analysis of running and stationary machines

Masters, Business Statistics, 7.0

Marine Engineering, Naval Architecture And Marine Engineering