Junior Data Analyst

Akshay Sharma

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Professional Goals

Mobile:

872-***-****

Email:

********@*****.***

LinkedIn:

www.linkedin.com/in/akshay-sharma-

06

Address:

***/*** *** *****, *********

Work Experience

Data Science Intern

Flip Robo Technologies November 2020 - May 2021

As a Data Science intern he was involved in data pre-processing techniques for making the data useful to create machine learning models. Converted data into actionable insights by predicting and modelling future outcomes.

Owned and executed end to end data science projects. Utilised My SQL,Data warehousing programs, and visualisations tool sets for data intelligence and analysis..

Academic History

PG diploma in Data Science,Machine Learning and Neural Networks in collaboration with IBM

DataTrained

University Of Allahabad

Bachelors of Computer Applications

Percentage acquired : 55%

Recognised by professors, batch mates, peers as a dedicated performer who demonstrate innovation, communication, and teamwork to ensure quality and timely project completion.

Volunteered Annual Program in our Institution.

Percentage acquired : 62%

Percentage acquired : 72%

Intermediate

Bishop Johnson School and College

High School

Ipem International school

Motivated,Teamwork-oriented and responsible Data Analyst with significant experience in increasing comprehension of reports with a PG diploma in Data science,Machine Learning and neural Networks.Seeking for the position of Data Analyst with a forward moving organisation.. Possessing good analytical skills, strong attention to detail and a extensive ability to learn and adapt.

Skills

Programming Languages :

Python ; Java

Databases: SQL, MySQL Server

Statistics

Machine Learning

Web Scrapping : Selenium,

Beautiful Soup

Tableau,

Data Mining

PySpark

Data Visualisation

Power BI

Projects

Employee Churn Analysis: A machine learning model on the Employee Churn datasets. Tech stack : Python, Machine learning, jupyter notebook Objective : predicting how does HR Analytics help in analyzing attrition and will try to understand the process step by step. Link:- GitHub - AkshayDat/Employee-Churn-Analysis

Flight Price Prediction:

Tech stack : Python, Machine learning, jupyter notebook Objective : Flight ticket prices can be something hard to guess, today we might see a price, check out the price of the same flight tomorrow, it will be a different story. As data scientists,and by using machine learning algorithms i have prove that given the right data anything can be predicted. Link:- GitHub - AkshayDat/Flight-Price-Prediction

Loan Prediction :

Tech stack : Python, Machine learning, jupyter notebook Objective: A use case where we need to predict whether or not to approve a loan based on the past information of the person.

Achievements : Support Vector Machine Classifier with Accuracy_Score of 88, Cross_Val_Score of 0.81 and AUC Score of 78

Link : https://github.com/AkshayDat/Evaluation-Project/blob/master/project_7_LoanPrdiction.ipynb l

Certifications/Achievements

Blog Published On Analytics

Vidhya website

Certified in J2SE from Spectrum

Technologies Allahabad.

Link :-

https://www.analyticsvidhya.com/

blog/2 021/02/machi ne-learning-

101-decisiontree-algorithm-for-

classification.

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