CAREER SUMMARY:

• Team leader, Veteran and competent Data Scientist with proven track record of working in the cross - functional areas of statistics, finance, aviation, survey and supply chain. Seeking job based on technical expertise in Statistical Modeling, Multivariate Analysis,
• Predictive Analytics, Factor Analysis, Functional Analysis and experience in manipulating big data, Data Analysis, Data Profiling, Data Cleaning and Data Integration for Regression (Linear, Nonlinear), Classification (Decision Trees, Logistic Regression, Neural Network, KNN, Linear/Quadratic Discriminant Analysis, Random Forest), Clustering (K-means,
• Hierarchical Clustering) using algorithm in SAS, SQL, Python, and R. Worked on a nationwide Enterprise Resource Planning Solution developed by Tata Consultancy Services called Integrated Material Management On Line System (IMMOLS). Expert in storytelling based on Tableau and familiar with Machine Learning, NoSQL and Hadoop.

PROFESSIONAL EXPERIENCE

Confidential, Rochester, NY

Data Scientist

Responsibilities:

• Merged multiple files and selected variables using Sure Independence Screening, Regularization Paths for SCAD & MCP Penalized Regression and Lasso and Elastic
• Net Regularized Generalized Linear Models using algorithm in R as Graduate Assistant.

Data Scientist

Confidential

Responsibilities:

• Attended presentations and interacted with the team leaders of the various field units dealing with operations, manufacturing, maintenance, medical, finance, and supply chain.
• Used WHERE and GROUP BY Clause with Comparison and Logical Operators in SQL to Classify each integral unit into classes within operations, manufacturing, maintenance, medical, finance, and supply chain based on list of tasks (categorical variable) performed by the various integral units as Feature Vector and Clustered these integral units into small groups based on these classes.
• Wrote algorithm in SAS, R and Python to import datasets from organization’s data warehouse.
• Validated, and analyzed data of the historical workload and current assignments of the various integral units of the organization by utilizing algorithm in SAS/Macros, SQL, Python and R.
• Used Predictive Analytics and Factor Analysis to predict and modify the resource requirement of over 400 integral units based on algorithm in SAS, SQL, Python, and R.
• Created Reports based on Data Visualization utilizing SAS, R, Excel, Tableau and Datameer.
• This improved the process of assessment and recommendation of optimum resources to various integral units by presenting complex analyses to diverse audiences.
• Achieved twice, the average result and saved about 5 million USD by reduction in resource requirement.
• Wrote algorithm in Python and R to import data sets from data warehouse of Survey of India and Created queries in SQL using WHERE and GROUP BY Clause with Comparison and Logical Operators to Cluster the geographical areas into survey regions.
• Wrote algorithm in Python & R to import data sets from data store of Meteorological Department, and Analyzed the data in SQL using INTERSECT and EXCEPT clause to predict the good weather (clear sky) days to carry out the aerial survey in the clustered survey regions.

Confidential

Responsibilities:

• Created queries in SQL using WHERE and ORDER BY Clause with Comparison and Logical Operators to perform Gap Analysis and undertook corrective correction
• Earned higher revenue (3 million USD) for the organization by utilizing the resources optimally.
• Created and altered table in SQL with complete details of all the trainees and using another table.
• Populated, Updated, Inserted, Sorted and Joined tables in SQL using WHERE and ORDER BY Clause for various administrative needs and managed vendors for supply chain with required financial prudence and active market survey.
• Used V-lookups and created Pivot Tables in MS Excel to identify and plan additional scientific training to meet the objective of the Academy.
• Executed several projects including procurement and construction of prefabricated shelter and associated facilities for 120 trainees worth about 2 million USD.
• Projected fund requirement with complete details for the financial year and procured of resources as per Defence Procurement Procedureof India for the successful training of the cadets.
• Saved over 1 million USD by successfully completing all-round development of the cadets within stipulated timeframe.
• Worked on IMMOLS for procurement and handled funds for maintenance, administrative, supply chain, and welfare of staff.
• Designed and experimented with the combination of air-activated hand warmer brand and glove type and temperature.
• Statistically analyzed the data using algorithm in SAS, R and Minitab to ascertain the most effective combination in varying weather conditions.Time Series Analysis & Forecasting
• Forecasted the Monthly Wholesale Trade for one year by comparing the predictive ability of Linear Regression, Seasonal Exponential Smoothing, and Box - Jenkins method using Minitab and R.Categorical Data Analysis
• Determined the effectiveness of AIDS prevention programs of USA for varied age groups by writing algorithm in SAS and RSurvey Design and Analysis
• Designed sample, survey instrument and description of data collection for both paper based as well as online Survey.
• Statistical analysis methods to predict the Multivariate nutrients in grapevine based on spectral observations of its petioles and leaves. The methods include regularization methods, such as Elastic Net and Functional Data Analysis utilizing algorithm in R and SAS.