Energy Analyst, Data Analyst, Data Scientist, Python, SQL, Hadoop

ASHIRWAD SAMUEL

Address: **, ****** - *, ****** - *, Dwarka, New Delhi - 110075

Contact: 085********; Email: ********.******@*****.***; Date of Birth: 30.12.1993

Objective

Seeking a challenging and rewarding opportunity to make my mark in the energy sector with the knowledge and experience gained as an analyst, broadened with Data Analytical skills, which utilizes my true potential while also nurturing my technical skills. Work Experience – Energy Sector

Elekore Systems Pvt Ltd

Senior Analyst (Nov 2016 – July 2018)

Tracking real-time developments in the power generation projects and coal mines. Monitor the long-term power purchase agreements and short-term power bids with power plants. Monitoring the contract opportunities for the power equipment market. Handling block-wise/Daily/weekly/monthly data on power generation, power outages & coal supply/shortage for power plants.

Preparation of Day-ahead market prediction reports. Coverage of daily power sector updates, orders, proceedings and policies. Handling Client queries on power generation and coal assets, PPA details and latest market updates. Market Analyst (Sep 2015 – Oct 2016)

Profiling the coal assets in the Indian Coal market, with in-depth study of the captive mines. Profiling the power generation projects, both active and proposed, across India. Profile

● M.Sc. in Analytics and Big Data from GD Goenka University, Gurugram, Haryana.

● B.A. (Hons.) in Business Economics from SGND Khalsa College, Delhi University.

● About 3 Years Experience in Energy Sector as Market Analyst and Senior Analyst

● Proficient in Python, SQL, R-programming, Netica, Hadoop, MS Excel and SPSS for Data Analysis.

● Knowledge of Statistical Research, International Economics, Computational Techniques, Quantitative Techniques, and possessing mathematical skills

● Ability to work in a time sensitive environment and to use common sense in solving problems and making decisions.

Internship and Project

Internships – Energy Sector and Data Analytics

1. Summer internship programme at Bureau of Energy Efficiency, Ministry of Power, Govt. of India, New Delhi in 2014.

a) Preparation of a brochure on VCFEE scheme for a conference b) Creating a draft proposal and interacting with the stakeholders of the Energy Efficiency Projects

c) Briefed Banks and Non-Banking Financial Institutions regarding the empanelment of the Financial Institutions under the VCFEE scheme.

2. Summer internship programme at EMA Solutions, New Delhi in 2019. a) Web Scraping & Data Extraction for dynamic real-time SLDC data using Python. b) Automating the process on AWS Cloud.

3. Six-month internship programme at ZIGRAM Data Technologies, Gurugram in 2020 Various Data and textual Analysis were prepared using re-usable Python scripts, for various Databases at its different stages of formation to provide vital insights for decision-making, such as: a) Analysing the Completion and Depth Counts of the Data. b) Quality Check of datasets, highlighting the discrepancies and providing the expected solutions using textual data analysis.

c) Comparative analysis of different datasets (structured and semi-structured formats) in various stages of its development and also to highlight the differences. d) Conducting Search Term analysis to analyse their performances. Project/Papers – Data Analysis, Predictive Analysis and Big Data Technologies

Research Project on the Effect of Macroeconomics Factors on SENSEX This Research project aimed at investigating the impact of select macroeconomic factors like GDP, Inflation Rate, Exchange Rate, Dow Jones Index and IIP upon the movements of the Indian Stock Market Index – SENSEX.

Research Paper on Bayesian Prediction on PM Modi’s future in 2019 Link: https://link.springer.com/chapter/10.1007/978-3-030-29407-6_64 The Research paper explored the causal and diagnostic reasoning through Bayesian Network approach to find new insights on the factors shaping his win or no-win for the 2019 General Elections.

Research Paper on Beyond Hadoop: Spark and Storm Link: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3463331 The paper highlighted the challenges posed by the basic Hadoop architecture and compares with the remedies as provided by Spark and Storm frameworks. Education Credentials

M.Sc. in Analytics and Big Data, GD Goenka University – 2018-2020 (CGPA - 9.35) B.A. (Hons.) in Business Economics, Delhi University – 2015 (Aggregate 73%) AISSCE, New Delhi – 2012 (Aggregate 78%)

AISSE, New Delhi – 2010 (Aggregate 83%)

Technical Skills

● Operating Systems : Windows 7, Windows XP, Windows 2000, Ubuntu 12.10.

● MS Packages : MS Excel, MS Word, MS PowerPoint, MS Access, MS FrontPage.

● Other Softwares : Netica, Tableau, SPSS 20

● Languages : Python, SQL, R-Programming, Hadoop, Pig, Hive, HTML Personal Attributes

Action-oriented, athletic, determined, hardworking by nature.

Adaptable, spontaneous, reliable, helpful, honest, dedicated,

Inspired and innovative, intellectual curiosity, empowering others and respecting differences. Extracurricular Activities

● Grade 1 and 2 in Keyboard and Grade 1 and 3 in Guitar from Trinity College, London.

● Stood second in inter-college 100m and 200m sprint. Hobbies/Interests

Playing musical instruments, sports and fitness.

Declaration:

I hereby declare that the above-mentioned information is correct up to my knowledge and I bear the responsibility for the correctness of the above-mentioned particulars. Place: New Delhi (Ashirwad P. Samuel)

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