CHINKI RAI

Fremont, CA *****

408-***-****

ac35m9@r.postjobfree.com

The Hiring Manager,

I believe my qualifications may be of interest to you. I have mathematical background & statistical learning as I learned in my coursework & in the Bank while working as a Data Analyst. From my experience in Data Analysis, I would quickly produce relevant information from the data. I developed programming skills from my previous job & trying to improve in my current study. I am a data analyst with industry experiences spanning academia and industry. I love extracting value from data & making complex concepts easy to understand, broadly accessible that enable data-driven decision-making

Through my internship in the Branch of ICICI Bank & course projects during MS, I have developed public speaking & customer dealing skills. I developed excellent written and oral communication skills with a results- oriented attitude. Ability to handle multiple tasks and demonstrate initiative and adaptability. I have done fraud analysis and analysis on Anti-Money Laundering in my previous job profile. I developed programming skills during coursework. I am also comfortable with rattle, shiny & Tableau. I learn grading & helping students who were struggling with the subject while working as a Teacher Assistant. I do work on kaggle datasets to improve my data scientist skills. I would appreciate the opportunity to interview for the position and am eager to discuss with you in greater detail how I can contribute to your organization. Capable of handling responsibilities independently as well as a proactive team member.

Thank you for your time and consideration.

Chinki Rai

Fremont, CA 94536 ac35m9@r.postjobfree.com 408-***-**** https://www.linkedin.com/in/chinki-rai/

https://github.com/chinki16

EDUCATION

MS, Computational Statistics/ Data Science, CSU, East Bay, Hayward, CA (GPA: 3.9) 2016-2018 Relevant Coursework: Probability Theory / Statistical Inference / Statistical Theory / Analysis of Variance Model / Regression / Statistical Learning with R / Data Visualization / SAS Post Graduate Diploma in Banking, Manipal University, Bangalore, India 2014-2015 Relevant Coursework: Accounts & Statistics / Basics of IT / Business Laws / Economics / Banking Products & Processes / Regulation & Compliance / Liability Products MSc, Mathematics, Banaras Hindu University (BHU), Varanasi, India 2011-2013 Relevant Coursework: Algebra / Calculus / Differential Equation / Analysis / Programming in C / Multivariable Calculus / Operation Research / Sample Survey & Design of Experiment BSc, Mathematics, Banaras Hindu University (BHU), Varanasi, India 2008-2011 Award: Recipient, BB Sinha Gold Medal, highest marks, Differential Geometry, BHU, India CERTIFICATIONS & SPECIALIZED TRAININGS

Certification, Depository & Mutual Funds, National Institute of Security Markets, (NISM) Certification, C Language, Indira Gandhi National Open University (IGNOU) Trainee, Mathematics Training & Talent Search Program (MTTS), India TECHNICAL SKILLS

Statistical Languages: SAS, R, Minitab, Tableau, SQL, Bluesky, shiny Programming Languages: Python, C

Office: MS Excel (data mining, pivot tables, vlookups), Access Version Control: Git

EMPLOYMENT

Teaching Assistant, CSU, East Bay Hayward, CA 01/2017 - Present

• Assist professor with courses STAT 3050, STAT 4000, and STAT 6010 (35-40 students per course)

• Grade papers and exams.

• Work on a college student journal project with professor and working on JSM competition. Data Analyst/ Deputy Manager I, ICICI Bank, Mumbai 02/2015 – 01/2016

• Analysis of transaction over $100K US to check any suspicious activity.

• Pre-defined pattern and historical data analysis to assess fraud transaction and anti-money laundering.

• Extraction and processing of raw data from SAS & data cleaning.

• Minimizing cash holding used NCR tools & Completed NCR aptra opticash training from NCR.

• Regression analysis for prediction for cash holding per day. ACADEMIC PROJECTS

• Identifying the risky bank loan to reduce default rate by classification tree: Developed a simple credit approval model using C5.0 decision tree on credit data to the UCI Machine Learning Data Repository.

• Graduation rate of CSUEB using regression technique: Predicted graduation rate using logistic regression on CSUEB admission data provided by CSUEB published on college student journal.

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