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| Desired Industry: Information Technology |
SpiderID: 84038 |
| Desired Job Location: Florence, Alabama |
Date Posted: 5/15/2023 |
| Type of Position: Full-Time Permanent |
Availability Date: 19 Jun 2023 |
| Desired Wage: 75000 |
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U.S. Work Authorization: Yes |
| Job Level: New Grad/Entry Level |
Willing to Travel: No |
| Highest Degree Attained: MBA |
Willing to Relocate: Yes |
Objective:
Innovative Data Analyst with Proven Results in Strategy Development, Performance Improvement, and Predictive Analytics.
Experience:
I have worked as a Data Analyst at the University of North Alabama, where I utilized game films and Instat to collect and compile ten years of data for the UNA Women's soccer team using Python and Excel. I conducted in-depth data analysis to identify key performance indicators (KPIs) and developed strategies to improve the team's win-draw-loss ratio. I developed interactive Tableau dashboards to visualize player contributions and identify areas for improvement, and employed Numpy and Pandas to optimize player and team training sessions and improve play performance. I identified three high-value neglected variables and incorporated them into the analysis, leading to a 17.8% increase in the goal rate. I also analyzed data to optimize goalkeeper and defender training sessions, resulting in a decrease in the goal conceded rate by 33.16% and improved defense strategies. I prepared pre-match reports for the coach, including player selection, tactics, and situation-based decision-making, resulting in an overall improvement in the team's Instat Index by 6.06%. I also analyzed set piece datasets and improved the conversion rate by 21.3% for crosses and corners, giving better results during set piece plays.
As an Analytics Consultant at Solugenix Corporation, I developed and implemented an automated system to analyze client portfolio value changes yearly to identify potential risks and inform risk mitigation and transformation strategies. I utilized geospatial data to create dynamic visualizations of total insured property values for clients, providing critical insights for effective and efficient decision-making. I collaborated closely with cross-functional teams to ensure high-quality deliverables and successful implementation of solutions. I conducted ongoing analysis and reporting of solutions, providing critical insights to key stakeholders and executive leadership. I applied advanced data analytics, validation, and enrichment techniques to improve data quality and completeness, ensuring accurate and actionable insights.
I also worked on various personal projects, including New York Taxi Fare Price Prediction using Machine Learning, where I created an automated system to predict New York taxi fares with a given dataset of 60 million observations. I worked on Australia Weather Prediction using Machine Learning, where I used ten years of Australia's weather data to solve a classification model by creating an automated system that predicts whether it will rain tomorrow with only six variables. Lastly, I worked on Flight Delay Prediction using Machine Learning, where I used open-source US Govt Work data to create an automated system to predict a flight delay at the destination airport in January. I also conducted exploratory data analysis on US Covid-19 Data, Hotel Reservation Data, and LA Crime Data.
Education:
I received my MBA in Information Systems from the University of North Alabama in May 2023 with a GPA of 3.4/4. Prior to that, I completed my BBA in Banking Financial Services & Insurance from Symbiosis University of Applied Sciences in Indore, Madhya Pradesh, India in May 2020 with a GPA of 3.0/4.
Affiliations:
Linkedin: https://www.linkedin.com/in/riddhbhattar/
Github: https://github.com/rbhattar07
Skills:
Technical Skills: Python, Tableau, Microsoft Suite, Pycharm, Visual Studio Code, Github, Git, BigQuery, Bitbucket, Jira, SQL Workbench, SQL
Server, R, Microsoft Power BI, PySpark, ChatGPT.
Data Skills: Business Acumen, Market Research, Data Warehousing, Data Mining, Data Modeling, Data Cleansing, Data Manipulation, Data
Governance, Data Visualization, Advanced Analytics, Big Data, Web Scrapping, Data Security, Predictive Modelling, Machine Learning,
Information Entropy, Probability, Hypothesis Testing, Type I & Type II error, Time Series analysis.
Additional Information:
Certificates: Google Data Analytics, Tableau 2022 Advanced: Master Tableau in Data Science, R Programming A-Z: R for Data Science With Real
Exercises
Reference:
Available upon request.
Candidate Contact Information:
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