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American Energy Data Analyst

Plano, TX
November 11, 2021

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408-***-**** Plano, Texas PROFESSIONAL SUMMARY:

Data analyst with hands-on experience in Excel, Python, and SQL doing extraction, cleaning and analysis to generate efficient and actionable business insights. Expert in statistical analysis, data wrangling and data visualization. A quick learner who can contribute strong data organizational abilities to the benefit of the organization. SKILLS:

• Proficient in technologies like Python, SQL, Excel.

• Data Visualization tools like Tableau, Google Data Studio, Power BI.

• No SQL Database (MongoDB, Cassandra), A/B Testing.

• Understanding of ETL, Principles of Data Modelling.

• Linear Regression, Logistic Regression, K-Means Clustering and other predictive analytics techniques.

• Good Knowledge of accounting and financial management software and Salesforce CRM. EDUCATION:

• Springboard Data Analytics Career Track, Certification.

• Certificate in Database and Data Analytics from UCSC Silicon Valley Extension, Santa Clara, CA, USA.

• Post Graduate Diploma in Business Administration (Equivalent to MBA) in Financial Management from Symbiosis Institute of Distance Learning, Pune (Mah), India.

• Bachelor of Computer Science from Bhopal (M.P), India.

• Diploma in Information Technology, from RGTU Bhopal (M.P.), India. PROFESSIONAL CERTIFICATE:

• Coursera: IBM Data Science Professional Certificate, Excel Skills for Business Specialization, Data Visualization with Tableau Specialization

• LinkedIn: Learning SQL Programming.


Springboard Data Analytics Career Track, Certification,2021 Dec 2020 till date

• Structured thinking through case studies and problem statement worksheets

• Introduction to SQL, best practices in writing queries (including common table expressions) and common DA/BA tools

• Case studies and hands-on exercises in writing SQL with real data

• Visualizing data and trends with Seaborn and Matplotlib

• Practical exercises in Python with real data to extract insights that could be presented to an executive audience Data Analyst – Sales Strategy (Contractor), F5 Networks, CA February 2020 to July 2020

• Imported data and clean data to ensure integrity.

• Created dashboard in Excel and Tableau for data reporting by using pivot tables and V-LOOKUP. Analyzed data to identify key metrics and transform raw data into meaningful, actionable information.

• Managed and analyzes sales productivity and makes recommendations for improvements.

• Analyzed and distributed the weekly reports to aid executives in monitoring sales performance and perform adhoc reporting as needed.

• Detailed, relevant, accurate and timely call tracking in Salesforce CRM Associate Analyst, State Bank of India, Pune, India April 2013 to January 2018

• Data analysis and interpretation to supply key insights to senior management.

• Supplying quickly actionable through data management using Advanced Excel and SQL.

• Extracted data from management information system into Excel.

• Ensure the prompt and successful delivery of solutions according to customer needs and objectives.

• Preparation of documents like User Stories, Use Cases and other back-office work like receipts collection, ledger maintenance, balance tally & other transactions.


Python and PowerPoint/Tableau: Bank Customer Churn-Identify and visualize the factors contribute to customer churn:

• Analyzed factors responsible for customer churn and finding insights which helps in improving customer engagement. Tableau: Analyzing cryptocurrencies and traditional stocks:

• Created dashboard to analyze the outcomes of investment in cryptocurrencies and traditional stocks and finding insight which one is best future investment. Southern Water Corp Python Case Study:

• Done statistical analysis and analyzed the behavior of a desalination plant pump before failure and during the failure. SQL and Tableau: American Energy Market Regulator

• Analysis of hypothetical outage data from a few producers to determine which companies have the most outages, the most average MW of lost energy due to those outages, and longest average outage duration. Creates a ranking system that considers all three metrics

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