Education

****-**** ***** ****** ******* University New Delhi

MSc Mathematics With Computer Science

CGPA-8.79(First Division with Distinction)

****-**** *** ************ *******(SVC), Delhi University New Delhi BSc(Hons) Mathematics

87.42% (First Division)

2012-2014 Indian School Certificate (ISC), Class 12th, Holy Cross School Ballia, UP

92.6%

Best of four, including English: 95% (as per ISC standard) 2010-2012 Indian Certificate of Secondary Education(ICSE), Class 10th, Holy Cross School Ballia, UP

94 %

Best of four, including English: 94.4 % (as per ICSE standard) CertificationAndReadingCourses

2020 Successfully completed the AWS Fundamental course in the AWS Machine Learning Scholarship with Udacity

2020 Successfully completed the Nanodegree program ’Microsoft Azure ML Scholarship’ with Udacity

2020 Successfully completed MIT 6.S191 Introduction to Deep Learning from: http://introtodeeplearning.com

InternshipAndExperience

2020-21 Intern-Data Scientist at TabSquare, (ongoing till 6th June, 2021) Remote I have worked on creating interactive dashboards for my organization us- ing Dash-plotly, google datastudio, etc.

Worked closely with the database on mysql server.

Worked on creating dataset from scratch and training using unsupervised learning algorithm

2020 Data Science and Analytics Intern at The Sparks Foundation Remote 2020 Machine learning Intern at Technocolabs Remote 2020 An Understanding of COVID-19 in India Remote

Project Guide - Professor A S Vasudeva Murthy, TIFR CAM Worked on the inverse problem of fitting an ODE to the COVID-19 deaths per day, inspired by SIRD model.

Created a Machine Learning model that helps in forecasting the rate of decay of deaths due to COVID-19 using Time Series analysis. The details are available on - https://git.io/JTXDC

2019 Loan Prediction analysis using Machine Learning New Delhi Details of which are available on https://git.io/JTXSW 2018 Regime Switching Model for Asset Price Dynamics IISER,Pune Worked as a summer student in IISER Pune. The work done on Option Pricing and Implied Volatility is available on https://git.io/JTXSr You can find THE PROJECT REPORT HERE

Computer Proficiency

Softwares and Packages - Google Data Studio, Jupyter notebook, Azure, Pycharm, Spy- der, Dash-plotly, Heroku, Rasa NLU Framework

Machine Learning Algorithms - Logistic Regression, Decision Trees, Support Vector Ma- chine, Random Forest, K-Means Clustering, Agglomerative clustering, Xgboost, Catboost, etc

Course Highlights - C programming(A+), Data structures in Java(A+), Object oriented programming(A), Operating System(A), Software Engineering(A), DBMS(A),etc. Jagriti Prakash

Data Science and

Analytics

i 04 July 1996

B Uttar Pradesh, India

T +91-704*******

m https://www.linkedin.com/in/jag5/

@ adm3dc@r.postjobfree.com

About me

Masters’ graduate in Mathematics

with Computer Science with Ability En-

hancement course in Web Designing,

having worked with SQL query, famil-

iarity and great appreciation for Data

Analytics. I o er myself as a candi-

date raring to demonstrate my experi-

ence and knowledge of Machine Learn-

ing and analytics for this project.

Skill

Python

Exploratory Data Analysis

ML Algorithms

Deep Learning

Model Deployment

HTML

Java

Basic C

Libraries- Streamlit?4 Flask?3

Numpy?4.2 Pandas?4.5 Sklearn?4

TensorFlow?3 Keras?3 [The skill scale is from 0 (Fundamental Awareness) to 6 (Expert).]

Contact this candidate