SUMMARY

• Having 8+ years of experience as a Senior Data Analyst/Analytics Consultant, in Retail, Insurance, Travel, Healthcare and Real Estate domain with Master’s in Business Analytics and Project Management.
• Gained good real time experience in data analytics, data extraction, visualization tools and software engineering.
• An insatiable intellectual curiosity and the ability to mine hidden gems located within large sets of structured, semi - structured and unstructured data.
• Leverages wide range of statistical and machine learning methodologies to obtain project requirements and implement solutions that drive bottom line. Recognized for providing outstanding support in data life cycle development and software development.
• Entrepreneurial minded, creative, innovative, result oriented team player with strong communication abilities, problem solving & decision-making skills.
• Adept at problem solving, troubleshooting, designing, and implementation solutions to complex functional and technical challenges.
• Good knowledge in using JIRA for managing the delivery of the project using agile framework.
• Managed multiple projects, developed project plans and monitored performance of the projects.
• Knowledge in the entire data science project life cycle and actively involved in all the phases including data extraction, data cleaning, statistical modelling, and data visualization with large data sets of structured and unstructured data.
• Proficient in Statistical Modeling and Machine Learning techniques (Linear, Logistics, Decision Trees, Random Forest, SVM, K-Nearest Neighbors XG Boost) in Forecasting/ Predictive Analytics, Regression-based models, Hypothesis testing, PCA, Ensembles.
• Experience using multiple ETL tools in Data Analysis, Data Migration, Data Cleansing, Transformation, Integration, Data Import, and Data Export such as Alteryx.
• Real time experience of python packages like NumPy, Pandas, nltk, SciPy.
• Excellent Software Development Life Cycle (SDLC) with good working knowledge of testing methodologies, disciplines, tasks, resources and scheduling.
• Analyzing web traffic by performing data mining and web-analytics and predicting the behavior of customers with the halp of Google Analytics.
• Good knowledge of Numerical optimization and estimation, A/B testing, Statistics and Collaborated with product management and other departments to gather the requirements.
• Hands on experience with version control systems like GIT and SVN.
• Expertise in working with large data sets and prior working knowledge of Alteryx, SQL, Python etc.
• Good knowledge of tools like Tableau and Microsoft Excel for data analysis and generating data reports
• Excellent experience in Data mining with querying and mining large datasets to discover transition patterns and examine the data.
• Have good exposure on working in offshore/onsite model with ability to understand and/or create functional requirements working with client.
• Experience in transforming raw data into actionable strategic knowledge in order to gain insight into business processes, and thereby guide and halp businesses in their decision-making and run efficiently.
• Good experience with database platforms: MS SQL, PostgreSQL, RedShift, MySQL.
• Working knowledge of AWS technologies like: Confidential EC2, Confidential S3, CloudWatch, AWS LEX etc.
• Good knowledge on presales of IT solutions and worked with VP’s to acquire new clients in AI domain.
• Experience in developing Machine learning and deep learning models.
• Proven record of implementing AI solutions with the implementation of chatbot and email bot for fortune 500 clients.
• Proficient in Data Science, data visualization, client acquisition, product development & chatbot implementation.
• Experience in onsite to offshore transition, QA Processes and closure of problems & issues.

TECHNICAL SKILLS

Programming & Tools: SQL, Python (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn), PySpark, SAS JMP, Enterprise SAS Miner, Google Analytics, Tableau, MS Excel, Test Rail, AWS, Alteryx.

Statistical Modelling: Linear Regression, Logistic Regression, Decision Trees, Random Forest, Clustering, Neural Network, CNN, NLP, Principal Component Analysis, Explorative & Descriptive Analysis, Data Visualization.

Organizational Skills: Project Management, Team Building, WBS, Risk & Cost Management, Logistics, SupplyChain Management.

Operating Systems: Windows, Mac OS.

Software Development Methodologies: Agile (Scrum), Waterfall

Others: JIRA, MS Visio, HP ALM, Databricks, Google Colab, Jupyter Notebook, A/B Testing.

Relevant Coursework: Predictive Modeling, Business Decision Modeling, Project Risk and Cost Management, Marketing and Digital Analytics, Deep Learning, Survival Analysis with SAS, Data Mining and Business Intelligence, Project Leadership and Communications.

PROFESSIONAL EXPERIENCE

Confidential, Nashville

Business Intelligence Engineer

Responsibilities:

• Build the business intelligence roadmap and regularly review the priorities with the stakeholders
• Collaborate with engineering teams and partner BI teams to acquire new from production systems or between databases
• Work with BA teams to create weekly and monthly business review metrics
• Work closely with program managers and with operational teams to build new data visualization tools
• Build and deliver high quality data architecture to support business analyst, data scientists, and customer reporting needs
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Confidential, New York

Data Analyst

Responsibilities:

• Reporting: Developed complex reports from equipment data for Program Managers, Product Managers and Customer Success Specialist and provided key insights on product usage; resulted in quarterly increase of customer spend on IT security by 23 %
• Visualization: Created tableau dashboards for the product management and customer success teams to analyze the customer’s downloads of product versions. Developed and deployed Tableau Dashboards to Tableau Server for product management and stakeholders, resulted in increased usage of security products by 22 %
• Program Management: Coordinated with engineering team and customer success managers to understand the customer’s requirement and implement it by liasioning with the developers.
• Performed Data Cleaning, Feature Selection, Feature Engineering as well as comprehensive statistical analysis using Python libraries such as Pandas, Matplotlib, Seaborn, NumPy, Scikit-learn and Plotly
• Created various visualizations such as Scatterplots, box plots, Maps, dual axis charts, pie chart, trend lines using tableau.
• Designed and Developed reports from multiple data sources by blending data on a single worksheet in Tableau Desktop.

Confidential, Hartford

Data Analyst

Responsibilities:

• Developed a data visualization dashboard using Tableau to analyze the scheduling of student’s exam for the entire semester.
• Led a team of 4 to schedule the exams for students from different departments and liaised with respective professors for the exam papers and necessary accommodations.
• Used Pyspark and Databricks to predict the stationary items and proctors that would be required for the preparation of final exams based on the exam schedule dataset.
• Worked on sentiment analysis in python to analyze the feedback of students for various facilities provided by the universities and classified the feedback into positive and negative sentiments.

Environment: Pyspark, PostgreSQL, Windows, Jupyter Notebook, Data Bricks, Python, SQL.

Confidential, New York

Senior Data Analyst

Responsibilities:

• Performed end to end quality Analysis of Chatbots developed using AI and Machine Learning algorithms and halped in delivering the product to clients with 95 % accuracy.
• Prepared test data, test scenarios, test cases, utterance creation and effectively increased the handling of customer queries, decreasing the human intervention by 40 %.
• Performed a dual role as business intelligence analyst and business analyst to reinstate the investment worth $3 M by eliciting, and analyzing functional and non-functional requirements saving $0.5 M.
• Led a team of three to analyze the functional and technical requirements of an email bot and delivered the bot to provide an automated reply with an accuracy of 80 %.
• Used Pyspark to process huge amount of data and used machine learning algorithms like random forest and XGboost to classify the customer sentiments from a customer review dataset for a retail client.
• Analyzed business requirements, system requirements, data mapping requirement specifications, and responsible for documenting functional requirements and supplementary requirements in Quality Center.
• Worked on text processing. Implemented various techniques like tokenization, parsing and lemmatization.
• Worked on sentiment analysis in python to analyze the severity of chat activity from the chatbot and email bot.

Environment: MS SQL Server 2008 client, MS office, Rational Clear Quest, MacOS, JIRA, Botium, PySpark, Python, Tableau.

Confidential

Data Analyst

Responsibilities:

• Performed the analysis of the various stocks and generated the analytical reports using visualization tools.
• Effectively managed clients to manage the portfolio worth $1.5 M and increased the quarterly revenue by 12%.
• Designed a dashboard using Tableau to visualize and analyze monthly and quarterly milestones.
• Integrated chatbot in website which led to the handling of customer onboarding process and customer queries efficiency by 70 %.
• Assisted in defining business requirements for the IT team and created BRD and functional specifications documents along with mapping documents to assist the developers in their coding.
• Led a team of 5 engineers and halped in increasing the financial services product sales by 45 %.
• Analyzed different market segments for potential customers and halped in increasing the revenue by 20 %.
• Enhanced the website traffic of the client through data analysis using Google Analytics and A/B testing.

Environment: MS SQL Server 2008, MS office, Windows, Alteryx, Google Colab, Python, Tableau.

Confidential

Data Analyst

Responsibilities:

• Analyzed large sets of client data and developed actionable insights to support client business decisions and goals.
• Implemented the commission system of Broker-Dealers for Insurance clients using True Comp tool.
• Tested the integrated system involved in the project and delivered the product to clients with 98 % accuracy.
• Build and ran the test cases and test data in HP ALM based on the BRD and FRD of the client.
• Performed the analysis of new client flows and liaison with the development and testing team to integrate the change requests with the current workflow.
• Assembled large, complex data sets that meet functional/non-functional business requirements.

Environment: HP ALM, MS Office, SAS, TrueComp, Windows, TrueProducer, Python, Agile.

Confidential

Data Analyst

Responsibilities:

• Analyzed the building materials data for the past 10 years and built a prediction model using different machine learning algorithm for requirements of materials in future projects.
• Worked on data visualization of building materials data set and built a dashboard in tableau.
• Extracted the data from different sources and cleaned them using Alteryx.
• Performed data manipulation and prepared the training and testing sets for modeling.

Environment: SQL, Alteryx, Tableau, MS Excel.