Resume

Sign in

Data Analyst Machine

Location:
Delhi, Delhi, India
Posted:
September 09, 2019

Contact this candidate

Resume:

SHAKTI OM SINGH

Mobile No- +91-766*******, 787-***-****

adaanb@r.postjobfree.com

OBJECTIVE

To seek in an organization where I can learn from the expertise and can utilize my ability for contributing in achieving the organization goal.

To constantly update and utilizes my technical and management skills and knowledge to conquer the challenges ahead of my organization.

PROFESSIONAL SKILLS

Problem solving and analytical skills

Deep understanding of machine learning problem like Classification, Regression, Association, Clustering etc.

Deep understanding of statistical learning/Machine Learning algorithms and techniques specifically Supervised and Unsupervised Learning to solve machine learning problem specifically algorithms.

Used intensively python module numpy, pandas for exploratory data analysis and data preparation, Matplotlib for data visualization and scikit learn family for machine learning algorithm implementation and evaluation.

Effective in dealing with huge volume of data, performing data analysis and data preparation.

Possess good communication skill, attention to detail.

Self-motivated individual and a good team player with good skills.

Good debugging and problem solving skills.

SKILL SET

TECHNICAL:

Languages : Python

Libraries : Numpy, Pandas, Scikit-Learn, Matplotlib Lib FUNCTIONAL:

Managing requirement gathering, system analysis and finalization of technical / functional specifications.

Delivering & implementing the projects/tasks as per the scheduled milestones.

Perform Statistical analysis and Fine-Tuning using Test Results

Train and Retrain Systems when necessary

Taking code reviews with the team

PROJECT UNDERTAKEN

PROJECT NAME – LOAN DEFAULT PREDICTION

Project Description:

People often save their money in the banks which offer security but with lower interest rates. Lending Club operates an online lending platform that enables borrowers to obtain a loan, and investors to purchase notes backed by payments made on loans. It is transforming the banking system to make credit more affordable and investing more rewarding. But this comes with a high risk of borrowers defaulting the loans. Hence there is a need to classify each borrower as defaulter or not using the data collected when the loan has been given Roles and Responsibility

Understanding client business requirement and formatting into machine learning problem.

Understanding the cogent database model as it was our source.

Worked on EDA mainly data understanding and data preparation part using Numpy and Pandas.

Worked on data visualization using Matplotlib and seaborn.

Developed machine learning model using classification algorithm Logistic Regression, Support Vector Machine, Random Forests.

Evaluated the model generated by different algorithm using confusion matrix and found logistic regression model performed best among other.

Communicated results and ideas to key decision makers. WORK EXPERIENCE

Internship in startup company named ‘Mubaraq ho’.

Awarded as Employee of the month during internship.

Worked as Relationship Manager HDFC Asset Management Company.

Completed Python with Machine Learning from Sky Infotech. EDUCATION QUALIFICATION

Qualification Specialization Year Institute Percentage MBA Marketing 2016-18 Army institute

of management

and technology

71%

B.E. Mechanical 2011-2016 G.H. Raisoni

College of Engg

and

Management

60%

Senior

Secondary

Maths, Physics,

Chemistry

2009-2010 Kendriya

Vidyalaya

Trimulagiri

Secunderabad

72%

Secondary Science,

English, Social

science, Hindi,

Mathematics

2007-2008 Kendriya

Vidyalaya

Trimulagiri

Secunderabad

70%

EXTRA CURRICULAR ACTIVITY

Coordinated International conference on MCSD 2016 New Delhi 24-25 October 2016.

Participated in football at University level in graduation.

Played football at university level in post-graduation.

Participated in Inter college “Speech competition”

Participated in 110m hurdles and 400m hurdles in K. V. Regional sports meet.

Inter school level football runner up in 10th class. PERSONAL DETAILS

Date of birth - 25 September 1992

Father – Lt. Col. Durgesh Kumar Singh (Army Officer)

Mother - Meera Singh (Housewife)



Contact this candidate