Data Analyst Python

Hemang Jalali

469-***-**** ******.********@*****.*** www.linkedin.com/in/hemangjalali

EDUCATION

The University of Texas at Dallas, Jindal School of Management Dallas, Texas/USA Master of Science in Information Technology and Management May 2020, GPA-3.7 Visvesvaraya Technological University Davangere, Karnataka/India Bachelor of Engineering in Electronics and Communication July 2014, GPA-3.8 EXPERIENCE

Leeward Renewable Energy LLC Dallas, Texas/USA

Data Analyst Intern January 2020 – May 2020

• Worked closely with data stewards, Leeward partners, team members and other business and technology leaders to frame problem definition and potential solutions

• Aggregated and analyzed historical production and pricing data at multiple wind farms to determine historical basis, covariance and any potential arbitrage opportunities

• Built machine learning and statistical models on the historical data to predict prices and balance fundamental supply/demand in day-ahead and real-time energy markets (ERCOT, PJM)

• Adopted experimental and iterative approach to validate results and choose the best performing model

• Communicated and presented findings, orally and visually in a way that can be easily understood by the business counterparts

Tata Consultancy Services Mumbai, Maharashtra/India System Engineer December 2014 – May 2018

• Analyzed Adobe campaign deployment issues in Excel to generate solutions that streamlined process by 80%

• Performed ETL of customer data into HIVE warehouse on AWS S3 storage to visualize customer insights using Tableau

• Implemented an automated script to compare daily customer record count with the expected count that reduced 9 man- hours per week.

• Acted as a liaison between Adobe partners to provide end to end troubleshooting ensuring optimal delivery of services

• Led a team of three and tracked team’s progress through Gantt chart and daily standup meeting to increase the team efficiency

ACADEMIC PROJECTS

The University of Texas at Dallas August 2018 – May 2020 Big Data Hadoop

• Analyzed sentiments from Twitter using Big Data Hadoop on how the users reacted to the Indian Government’s decision to demonetize two bills of the highest denominations to combat the black money problem in the country

• Hands on experience in using CDH Hadoop ecosystem components like Hadoop, MapReduce, Yarn, Hive, Pig, Sqoop, HBase, Spark, Oozie, Zookeeper and Flume.

Data Science with Python

• Identified company’s strengths and challenges from its Glassdoor reviews using Natural Language Processing (NLP); Predicted company’s rating based on customer reviews on Glassdoor using regression analysis in Python

• Scrapped Bureau of Labor Statistics data using Requests library in Python; Performed descriptive analysis on earning trends using NumPy and Pandas; Visualized results with Matplotlib library Data Management

• Developed a full stack application for library management using Oracle 12c as backend and Oracle APEX 18.1 as frontend CERTIFICATIONS, SKILLS & HONORS

Certifications Hadoop Platform and Application Framework, Python for Data Science by Cognitive Learning Technical Skills MapReduce, YARN, Sqoop, Flume, Hive, Spark, Pig, Python (NumPy, Pandas, Scikit-learn, Tensor Flow, Keras, nltk, Requests, Beautiful Soup, Matplotlib), R (tidyverse, dplyr, ggplot2, caret), C, C++ Tools HDFS, Jupiter Notebook, R Studio, Hue, IntelliJ, Cloudera VM for Apache-Hadoop, Oracle APEX 18.1, Oracle 11g/12c, SQL Server, PJM Data Miner 2, Google Collab, MS Excel, MS PowerPoint, Adobe Campaign v7

Honors Scholar of Recognition (UTD - May 2020), Tata Service Commitment Award (TCS - December 2018)

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