SUMMARY:

• A Data Scientist/Senior Statistical Analyst with nearly 10+ years of experience in Solution Designing, Research & Development/ Analysis, Project Management and Team Management
• Experienced data science professional with good expertise on various Machine learning like supervised & unsupervised learning models & statistical techniques.
• Expert in Statistical Modelling and Machine Learning Techniques (Linear regression, Logistic regression, Mixed models, Decision Trees, CHAID, K - means Clustering, Support Vector Machines, Naïve Bayes, Random Forest, Holt winters models, credit risk models)
• Extensively used R, SAS, SPSS, Python (Numpy, Pandas, Scikit-learn), and Azure ML Studio for statistical modeling.
• Extensive use of machine learning techniques in Python using libraries such as Pandas, Numpy, SciPy, scikit-learn, Matplotlib, Seaborn.
• Worked on structured and unstructured data.
• My interest and expertise lies in analyzing data and finding patterns in it, and in communicating my findings in most efficient manner, mainly using visualization tools of R, Azure ML Studio, SAS & Tableau.
• Instrumental in designing solutions for banking, telecom, retail, Insurance, manufacturing, media, pharma etc.
• Worked on RFI/RFP for prospective clients & coordinated with subject matter experts to create a comprehensive and persuasive response to customer-issued request for proposals in a pre-sales team and also demonstrating analytical capability to clients.
• End-to-end project shaping experience (cleaning data, building predictive/explanatory models, develop strategies, monitor/validate strategies)
• Knowledge in Basel II implementation.
• Avid Kaggler
• SAS (Base, Stat, Macros, E-miner, ETL, EGuide, OLAP), R, R-Studio, Azure ML Studio, Minitab, SPSS, SPSS Clementine PASW Modeler, Tableau 8.2, E-Views, SQL, MS-Office Tools
• Python: Experienced with Python programming and Python libraries for data science included in the Anaconda distribution including NumPy, pandas, SciPy, Scikit-learn and Natural Language Tool Kit (NLTK)
• Windows operating systems
• Designing and analysis of algorithms
• Building large high skilled analytics teams
• Design and productionalize analytics products using both structured and unstructured data
• Implementing data analysis, machine learning & statistical modelling in multiple domains and functional areas such as Finance, Marketing, HR, Retail, Telecom, Media and Manufacturing domains
• Strong customer focus and good networking skills
• Carrying out end-to-end project shaping experience (developing data, building predictive/ explanatory models, develop strategies, monitor/ validate strategies)
• Planning and organizing day-to-day activities and resolving procedural problem as appropriate to the timely of objectives

WORK EXPERIENCE:

Confidential

Lead Data Scientist

Responsibilities:

• Explore, identify and establish relationship between the ethics, exits and terminations using supervised and unsupervised learning techniques.
• Identifying inconsistencies and “rule-breaking” behaviors across different business units and various other dimensions.

Confidential, New Jersey

Principal Consultant

Responsibilities:

• Confidential: Liaising with various business units to understand the analytics problems and design solutions
• Mentoring execution of PoCs for various clients
• Building statistical models in the areas that include supervision, turnover, hiring, promotion, performance, rewards, complaints & attrition.
• Used Python’s Pandas, Numpy, Matplotlib, Scikit Learn & Seaborn to conduct data exploration and visualization.
• Drawing conclusions and forecasts (from statistical analyses) that inform management’s decision making across the organization
• Presenting findings to inform business decisions and further the advancement of organizational analytics
• Identifying various functional groups (e.g., manufacturing, operations, procurement, engineering, quality assurance, supply chain planning, materials management, logistics) to identify advanced analytics application opportunities and deliver innovative solutions.
• Identifying the best approaches (Sentiment analysis, Topic models, word clouds) and visualizations to work on unstructured data.
• Familiar with d3.js visualizations

Confidential

Data Specialist

Responsibilities:

• Liaising with various business units to understand the analytics problems and design solutions
• Streamlining and optimizing the procurement process for various stakeholders like user-buyer, logistics & finance to manage the operations effectively.
• Analyzed the customer and employee feedbacks using analytical tools to improve customer & employee satisfaction (HR team).
• Participated in Hackathon conducted by internal Bosch
• Implemented Holt-Winters forecasting model for Texmo in Bosch project using R.
• Creating analytics solutions for RBEI-I buy for product bundling, crib and non-crib analysis with visualization using tableau readers
• Published conference paper on IEEE-IAC 2015. Refer link http://goo.gl/znrbWH

Confidential

Lead Analyst

Responsibilities:

• Parts forecasting to forecast part sales and also to understand the key indicators which are influencing the part sales using Holt-Winters method of forecasting and linear regression models.
• Supply & order planning to forecast the total inbound lines for different facilities and also finding out the sources which are impacting a facility’s inbound and outbound lines.

Confidential

Senior Statistical Analyst

Responsibilities:

• At Confidential, used analytics to optimize sales of Palm smart phones.
• For Universal McCann (Microsoft) worked to understand the media spent and their respective contributions to increase the awareness in cloud campaigning by implementing linear regression models to decipher the effect of various media spend and their respective contribution to the current perception.
• For Billeo, the project’s aim was to do a cascade analysis for an online shopping support provider by developing a dynamic dash board with clear summaries and metrics to understand the overall business behavior.

Confidential

Senior Statistical Analyst

Responsibilities:

• Worked for Woolworths, Australia in building a propensity model to understand customer responsiveness for various marketing strategies.
• Worked for Southern water, a UK based water utility company in implementing CHAID to predict the likelihood of bill defaulters and segmentation model to understand the reasons for defaulting the bill.

Confidential

Data Analyst

Responsibilities:

• Worked for Life Insurance company where the aim was to predict the discrete brand choice behavior of individuals or lapsation of an insurance policy.
• Worked for Meritus to identify the marketing drivers that influence sales or awareness by creating adstock and also the cannibalization effect on the sales, which will eventually help the clients to calculate the elasticity and contribution of variables in the model and take necessary business decision.
• Worked for Web Analytics to identify the best combination of keywords, headlines and positions for the better airline ticket reservation and transaction marketing campaign through web using generalized linear models.