ujjwala taneja

Data Science / Machine Learniing

Aspiring Data Scientist familiar with the gathering, cleaning and organizing data. Works with Machine learning algorithms in python with a decent understanding of statistical analytical techniques. Highly organized, self-motivated and willing to enhance knowledge. adaa34@r.postjobfree.com 903-***-****

New Delhi, India linkedin.com/in/ujjwala-taneja

github.com/ujjwala1701

EDUCATION

2017 – Present

Master of Technology (M.Tech), Computer

Science

IIET,Kinana (aff. By Kurukshetra University

Kurukshetra)

2012 – 2016

Bachelor of Technology (B.Tech), Computer

Science

IIET,Kinana (aff. by Kurukshetra University

Kurukshetra)

7.8

PERSONAL PROJECTS

Breast Cancer Detection

Objective: Predict breast cancer by building a decision tree model & tune model with Random Forest. Tech Stack: Python Solution: Design the Random Forest models to predict if someone has breast cancer or not, using python. Key Achievement: The model predicted with an accuracy of 94 %.

Loan prediction

Objective: To Automate the loan eligibility process (real-time) based on customer details provided; Tech Stack: Python Solution: Exploratory data analysis was done to understand variables & data. The decision tree model was built by boosting the Random Forest algorithm. Key Achievement: The model predicted with an accuracy of 74.14 %.

Housing Prices

Objective: Created a Multiple Regression model to predict the house prices based on there features given and tuned the model which resulted in the predictability of the model. Tech Stack: Python. Solution: Created linear regression using python language to arrive at a potential transaction price for all future housing prices Key Achievement: Proposed a reduction in negotiation time from an average of 3 weeks to 8 days and a boost inclosure by 25% INTERNSHIP

01/2019 – 07/2019

Project Intern

Dexlab Analytics, Gurugram.

Exploratory data analysis

Feature Engineering

POC for machine learning models to achieve better accuracy SKILLS

Data Analysis Decision Analytics Data Science

Predictive Modeling Data Modeling NLP

Data Visualization Machine Learning Algorithms

TECHNICAL SKILLS

Machine Learning

K-mean Clustering, Linear Regression, Logistic Regression, Decision Tree, SVM, KNN, K-Means, Random Forest, Gradient Descent. Languages

Python (Basic Operators, Loops, Numbers, Strings, Lists, Tuples, Dictionary, Sets Functions) Libraries like Numpy,

Pandas,Sklearn,TenserFlow,Keras. Visualization libraries like Matplotlib and Seaborn)

Statistics

Measure of Central Tendency, Normal Distribution, Z-score, Sampling Distribution, Central Limit Theorem, Confidence Interval, T-score, Hypothesis Testing, P-value.

Database

MySQL

CERTIFICATES

Data Science & Machine Learning with Python at

DexLab Analytics, Gurugram (01/2019 – 07/2019)

Learnt Python programming, Machine Learning, Statistics,Data Manipulation,Data Visualization, Data Cleaning

LANGUAGES

English

Professional Working Proficiency

Hindi

Professional Working Proficiency

Punjabi

Professional Working Proficiency

Tasks

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