Data Sales

RESUME

D.NAVEEN KUMAR

Analyst

Email. ****.*********@*****.***

Phone-738-***-****

PROFILE

To work for an organization which provides me the opportunity to improve my skills and knowledge to grow along with the organization objective.

PROFESSIONAL SKILLS & ABILITIES

A bright, talented and self-motivated Data Scientist who has excellent organizational skills, is highly efficient and has a good eye for detail. A quick learner who can absorb new ideas and can communicate clearly and effectively. Proficient in working with multiple algorithms and techniques such as the Random Forest, Naïve Bayes, k- NN algorithm, sentiment analysis etc. Have gained significant experience in using these algorithms to create products that have a direct impact on the bottom lines of organizations. Looking forward to applying my acquired skills to a challenging role in the data science & analytics space.

KEY SKILLS

R Language

Python

Machine Learning

Deep Learning

Data Analysis & Visualization

SQL

Excel

Natural language processing

Data Mining

WORK EXPERIENCE - Analyst

HSBC 06/2017-Present

Duties and Responsibilities:

Working on R Studio and Excel for Data Manipulation and Data Visualization.

Implemented Machine Learning algorithm– logistic regression, Predicted Customer will churn or not.

Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful.

Created visually impact dashboards in Excel for data reporting by using pivot tables and VLOOKUP.

Data entry, data auditing, creating data reports and monitoring all data for accuracy. Capacity planning, head count report, business monthly reports.

Single point of contact between collaborators, business, counter parts and management for all queries, as being an SME for the process.

Monitor SOP and update the team and business for a hassle-free workflow.

Motilal Oswal Financial Services -09/2016 to 04/2017

Supported senior sales staff by developing client information database.

Responsible for client satisfaction, maintaining client communication,

Overall management of the relationship and client retention activities.

Collected and analyzed sales data. Wrote and submitted reports to superiors.

Major clients and forming working relationships with the premier buyers in the industry.

PROJECT EXPERIENCE

Project 1: Customer Churn

Industry: Analytics

Problem Statement: Predicting if the customer will churn or not.

Highlight: Implemented classification models – logistic regression, decision tree & random forest on the “customer churn” data frame to find if the customer will churn or not.

Project 2: Sentiment Analysis Using Natural language Processing (NLP).

Industry: Finance

Problem Statement: Predicting the Stock price of the Particular Company provided with historical data.

Highlight: Implemented classification models – logistic regression, decision tree & random forest & Naïve Bayes classifier on the data set to find if the Stock price increase or decrease.

Project 3: Augmenting retail sales with Data Science (Apriori Algorithm)

Industry: Retail

Problem Statement: Deploy the various rules and algorithms of Data Science for analyzing stationary store purchase data.

Project 4: Customer Assessment for Loan Approval

Industry: Banking

•Developed a solution which assess the loan approval eligibility of the Customer.

•Time taken to assess the eligibility of customer is 70% reduced.

•Built Logistic Regression Models to predict defaulter from highly Imbalanced datasheet

EDUCATION

Data Science-Intern INTELLIPAT Bangalore.

B.TECH Electronics and Communication of Engineering.

Sri Prakash College of Engineering

CERTIFICATION

•Data Science Training Course Intellipaat, ‘19

•Successfully completed Internship with Intellipat.

Contact this candidate