Data Analyst

NIKHIL SANJAY THORAT

BOSTON, MA 857-***-**** ***************@*****.*** LinkedIn GitHub Tableau OBJECTIVE

Data enthusiast with experience interpreting and analysing data in order to drive successful business solutions. Proficient knowledge in statistics, math, analysis and machine learning. Looking for job opportunities starting June 2021. EDUCATION

Northeastern University, Boston, MA June 2021

Master’s in Data Analytics. CGPA: 3.84

Relevant Courses: AI Applications, Data Warehousing, Big Data, Cloud Analytics, Data visualization, Predictive Analysis University of Mumbai, Mumbai May 2018

Bachelor of Electronics Engineering CGPA: 3.33

Relevant Courses: Object Oriented Programming, Digital Image processing, IT Management, Computer Networks TECHNICAL SKILLS

• Databases/Programming Languages: Python, SQL, R, MySQL

• Machine Learning techniques: Classification, regression, Neural Networks, Decision Trees, SVM, Random Forest

• Deep/ Machine Learning tools: SciPy, NumPy, Pandas, Matplotlib, Scikit learn, stats models, Keras, TensorFlow

• Cloud Technologies: AWS (Glue, Lambda, Athena, Redshift), Azure (Data factory, DataBricks), GCP

• Visualization Tools: Tableau, Power Bi, Tibco Spotfire, Plotly, Excel, AWS Quick Sight, Graphviz EXPERIENCE

Data Science Intern, iSmile Technologies, IL, USA Aug 2020 – Jan 2021 Healthcare/Marketing Analytics, Technology stack: Azure, Python, Agile, PowerBi, Tableau, SQL

• Fetched real-time IOT data using Azure stream analytics for performing ETL, programmed heartbeat anomaly model with 92% accuracy, integrated dashboards for visualizing patient’s heartbeat and sustained human life

• Programmed customer credit card spend prediction using Azure Data Factory, Azure Databricks, built ML model to help the SEO team decide features to target audience resulting in 13% profits

• Integrated machine learning model with the webapp and deployed it on the front end Analyst, Tata Communication Transformation Services, Pune, India Dec 2018 – Jun 2019 Project Management Team, Technology stack: Tableau, Python, Risk Management, Excel, MySQL

• Built out the data and reporting infrastructure using Tableau and SQL to provide real-time insights into the product, marketing funnels, and business KPIs. Implemented A/B testing to boost the conversion rate by 37%

• Developed ML models to analyze customer buying pattern, predicted results and strengthened sales outcome

• Implemented a long-term pricing experiment that improved customer lifetime value by 22% Data Analyst Intern, K2 Analytics Pvt. Ltd., Mumbai, India May 2018- Dec 2018 Technology stack: MySQL, Python, Tableau, Visual Studio

• Designed ETL pipeline using star and snowflake schemas on banking data, implemented data mining techniques. Constructed a data warehouse to support BI team analyze historical data which increased profits by 19%

• Constructed predictive models with optimized results and accuracy, impacted business with 23% increase in sales

• Queried data using window functions, triggers, stored procedures, schedulers and visualized results using KPI PROJECTS

Telecom Customer Churn Prediction Classifier using Python Webapp GitHub

• Executed ETL on data using Azure Data Factory and designed an optimized ML model with 81% accuracy

• Visualized results using Tableau and deployed the ML model using a Webapp on front end Real-time Analysis of Bank Loan Modelling on AWS Dashboard GitHub

• Fetched real-time data from API using AWS Lambda, stored it in AWS redshift and queried results using Athena

• Implemented data mining techniques and optimized results by using ensemble modelling with 98% accuracy

• Designed a tableau dashboard with KPI’s and showcased it to the target audience. Reddit Stock Analysis using AWS cloud Services Webapp GitHub

• Gained insights from Reddit conversations API and Nasdaq data using AWS Lambda. Developed a chatbot user interface that resulted trending stocks, chat sentiments and Quick Sight dashboard with stock attributes

• Developed a conversational intent data pipeline to fetch real-time data using S3, Lambda, Glue, Athena, Comprehend. Integrated the outcomes on a front end webapp with dashboard visualizations Atliq Technologies Sales Analysis Using MySQL and Tableau Dashboard GitHub

• Extracted Live data from MySQL Server, designed a Star Schema and performed ETL on the database using Tableau, gained insights using real-time dashboard which showed trends of sales for 5 years

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