OBJECTIVE:

• Dynamic, solutions - focused IT professional with 6+ years extensive experience that includes 2+ years as a data scientist working on algorithm development and Machine Learning data pipelines.
• Possess experience with and solid theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection. Knowledgeable in relational databases, including SQL.
• Excel at designing quantitative systems and forecasting models that generate predictions of the highest level of visibility and importance for business and operational planning.
• Skilled project manager with proven capacity to define project strategy, scope, and resources, consistently delivering completed projects on time and to the highest of standards.
• Recognized for capacity to proactively collaborate cross-functionally, contributing to development of solutions to address critical business challenges.

EXPERIENCE SUMMARY:

• A Data Scientist professional with over 6+ years of progressive experience in Data Analytics, Statistical Modeling, Visualization, and Machine Learning. Excellent capability in collaboration, quick learning, and adaptation.
• Experience in Data mining with large datasets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization.
• Experience in writing Sub Queries, Stored Procedures, Triggers, Cursors, and Functions in MySQL.
• Experience in integrating data, profiling, validating and data cleansing transformation and data visualization using R and Python.
• Experience in applying machine learning algorithms for a variety of programs.
• Good experience in using various Python libraries (Beautiful Soup, Numpy, Scipy, matplotlib, python-twitter, Pandas, MySQL dB for database connectivity).
• Sound understanding of Deep learning using CNN, ANN, reinforcement learning, transfer learning.
• Theoretical foundations and practical hands-on projects related to (i) supervised learning (linear and logistic regression, boosted decision trees, Support Vector Machines, neural networks, NLP), (ii) unsupervised learning (clustering, dimensionality reduction, recommender systems), (iii) probability & statistics, experiment analysis, confidence intervals, A/B testing, (iv) algorithms and data structures.
• Hands on experience in Implementation of Enterprise Business Intelligence solutions using BI tools such as Tableau, Business Objects and Crystal Reports.
• Excellent in High Level Designing of SSIS Packages to perform ETL from heterogeneous sources such as Excel, CSV, Text Format Data by using multiple transformations provided by SSIS to generate underlying data for the reports and to export cleansed data.
• Experienced in designing reports using SQL Server Reporting Services(SSRS) and Excel Pivot table based on OLAP cubes.
• Extensive experience in creating and maintaining source to target data mapping documents.
• Competent, confident and strategic decision maker organized with effective Time Management and Prioritizing skills in conflicting demands to execute business objectives.
• Organized, goal-oriented, self-starter, and ability to master new technologies, manage multiple tasks while following through from start to completion with limited supervision.
• Experience in data analytics, predictive analysis like Classification, Regression, Recommender Systems.
• Hands-on experience on Python and libraries like Numpy, Pandas, Matplotlib, Seaborn, NLTK, Sci-Kit learn, SciPy.

TECHNICAL SKILLS:

Data Analysis and Visualization Tools: Tableau, Power BI, MS Excel, MS Access, ArcGIS, MS Visio, MS Project, Machine learning

Programming Languages: Python (Pandas, NumPy, Sci-Kit Learn, Matplotlib, Keras, PyTorch), R (ggplot2, sqldf)

Databases: MySQL, MS SQL Server, SSIS, MS Azure Machine Learning Studio

PROFESSIONAL EXPERIENCE:

Confidential, New York, NY

Data Science Analyst

Responsibilities:

• Leveraged MS Azure to migrate the database to cloud. Provided technical help on creating database using Cosmo DB in Azure.
• Built a web scraper to Scrape Alibaba.com and collected data of vendors and suppliers. Also, Performed data deduplication
• Developed a script on python using API of Hunter.io, which helps to search domain and email Id’s of any website.
• Saved 80% of time in data cleaning activities by leveraging Tableau and Python as and when applicable.
• Created real-time Data visualization reports and identified top 5 Key Performance Indicators.
• Expertly extract data from multiple databases, and manipulate and explore data utilizing quantitative, statistical, and visualization tools.
• Prioritize data by performing statistical analysis to determine data to be used.
• Perform strategic data analysis and research in alignment with identified business needs and requirements.
• Work in close collaboration within a cross-functional team comprising of monitoring, evaluation, learning and knowledge management personnel, programmers, web developers
• Create intuitive static and interactive visualizations using routine program monitoring data for websites, annual and quarterly reports, and presentation to stakeholders.
• Analyze large data sets effectively applying machine learning techniques, and develop predictive models, statistical models, along with developing and enhancing statistical models by leveraging best-in-class modeling techniques.
• Performed preliminary data analysis using descriptive statistics and handled anomalies such as removing duplicates and imputing missing values.
• Analyze Data and Performed Data Preparation by applying historical model on the data set in AZUREML.
• Used Pandas, NumPy, seaborn, SciPy, Matplotlib, Scikit-learn, NLTK in Python for developing various machine learning algorithms and utilized machine learning algorithms such as linear regression, multivariate regression, Random Forests, K-means, & KNN for data analysis.

Environment: Pythos, SQL, Machine Learning, Natural Language Processing, MS Azure

Confidential, Lawrenceville, NJ

Data Analyst Intern

Responsibilities:

• Used statistical methods to analyze data and generate useful business report
• Executed complex data related analytical projects to drive business decisions and efficiencies
• Managed database, wrote complex SQL queries including JOINs, stored procedures, INTERSECT functions to pull data from SQL Server, RANKed amounts and accelerated pension disbursement by 50%.
• Generated Ad-hoc benefits related reports by writing system queries this saved 20% of the turnaround time.
• Performed data analysis and aiding co-workers with the support of measure, filter and visualize the interpretation of large datasets.
• Queried data exploration and transformation, basic statistical methods and visualization techniques to create Performed business analysis, identify root cause, and develop recommendations and solutions to drive business improvements
• Leveraged Tableau prep builder to transform and aggregate data and improved the efficiency of ETL process by 70%.
• Interprets results of analyses, identifies trends and issues, and develops recommendations to support business objectives.
• Established architectural design guideline, process governance and enterprise service model.
• Perform data analysis by using Tableau to retrieve the data from SQL Server to retrieve data from the database and used ETL for data transformation.
• Communicate the results with operations team for taking best decisions.
• Collect data needs and requirements by Interacting with the other departments.

Environment: Tableau, MySQL, Python, MS SQL Server, ETL, Tableau Prep Builder

Confidential

Business Analyst

Responsibilities:

• Provided solutions to client requests in a timely manner by leveraging technical skills using Excel and Tableau for reporting and SQL to get data from databases.
• Defined data requirements and reporting use cases and unearthed actionable insights to support informed decision making.
• Provided solutions to improve credit score by collaboration with individual alliance partners and relationship managers to implement risk management strategies. Also, Conducted data mining and analytics on annual net defaulters
• Work with users to identify the most appropriate source of record and profile the data required for sales and service.
• Involved in defining the business/transformation rules applied for sales and service data.
• Involved in defining the source to target data mappings, business rules, business and data definitions
• Responsible for defining the functional requirement documents for each source to target interface.
• Document, clarify, and communicate requests for change requests with the requestor and coordinate with the development and testing team.
• Evaluated data profiling, cleansing, integration, and extraction using ETL and Tableau.
• Coordinate with the business users in providing appropriate, effective, and efficient way to design the new reporting needs based on the user with the existing functionality
• Remain knowledgeable in all areas of business operations to identify systems needs and requirements.
• Prepared solution for Service Virtualization and responsible to get it approved from respective teams.

Environment: MS Excel, Scrum and Agile Methodology, ETL, Tableau

Confidential

Business Analyst Associate

Responsibilities:

• Mitigated credit risk by building a risk reduction model to predict the customers that are likely to default on credit payments and, also ensured data-driven decision making with data visualization on Power BI.
• Facilitated data visualization and dashboard-based presentations to introduce newly launched products to clients, vendors, and other business stakeholders in annual conferences, resulting in an overall surge in revenue of 20% by using Power BI
• Preparation of various test documents for ETL process in Quality Center.
• Involved in Test Scheduling and milestones with the dependencies
• Functionality testing of email notification in ETL job failures, abort or data issue problems.
• Created and executed test cases for ETL jobs to upload master data to repository.
• Responsible to understand and train others on the enhancements or new features developed.

Environment: ETL, Power BI, MS Excel, Risk management strategies