PROGRAMMING

• R programming

- Packages: dplyr, tidyr, lubridate

• Python - Libraries: pandas, numpy, scikit-learn, basics of tensorflow

• Basics of C, C++ and Java

Fazrul Rahman

EDUCATION

May 2018

eBuilders

Machine Learning Intern

• Proof of concept, RNN preforms better than

Linear regression in predicting system failure

• Modelled an ML system using Tensorflow

May 2016

eBuilders Big Data Administration Intern

Built a distributed file system with Cassandra

WORK EXPERIENCE

KEY PROJECTS

adead5@r.postjobfree.com +91-944**-*****

Jun 2019 - Jun 2020

Ganit Inc

Data Analyst

• Translating client’s business questions into

analytics based objective statements and

providing solutions

• Data extraction, cleaning and manipulation

• EDA and Insight generation

• Data driven story telling based on the model

results

- - - - - - - - Problem Structured Deck Handling Individual Analytical Attention Handling Making Solving Ad-to multiple contributor thinking thinking details hoc tasks projects BUSINESS SKILLS

TECHNICAL SKILLS

Regression Analysis Hypothesis Testing

Data Visualization

Predictive modeling

Clustering Time Series Forecasting

WHO AM I: Experienced Data Analyst with proven technical skills and master’s degree in analytics from Anna University. Seeking a position in data science domain to solve complex problems with machine learning and statistical techniques Palavakkam, Chennai

TOOLS USED

- - - R Jupyter Microsoft Studio Notebook Office - Excel, Powerpoint,

- Word, Tableau Outlook desktop

• Recommendation system Retail

- To help tele-sales executives in recommending products to the retailers

- Provide a list of Must-sell and Cross-sell products

- Using modified RFM algorithm and Association rules

- Increased customer’s average purchased width from 13 to 15

- Increased business’ monthly revenue by 1%

• Revenue Growth Management FMCG

- To help business understand the impact of sales due to price change

- Built a price elasticity model using Linear regression to simulate the sales

- Helped business in taking decision for fixing the price of the product

• Demand Forecasting Retail

- To help business stock up optimal quantity of Fruits and vegetables without being overstock or understocked

- Built a time-series model for forecasting demand

- Using Prophet, Arimax and Holt-winters algorithms

- Reduced dump from 12% to 8% in top stores

• Replenishment Norms Supply chain

- To help manufacturing plant setting up norms for reordering so that they never end up in stock out or overstock safety stocking situation

- Recommended optimal safety stock, reorder point and economic order quantity

- In proof of concept, reduced the number of instance of stock outs kaggle.com/fazrul

LANGUAGES

• • English Tamil

Data Analyst

• College of Engineering, Guindy

M.E. Computer Science and Engineering

with Specialization in big data analytics

(2017-2019)

• SASTRA Deemed University, Thanjavur

B.Tech Computer Science and Engineering

(2013-2017)

Recommendation Techniques

Natural Language Processing

Contact this candidate