Rohan Advani

Certified Data Scientist

Strong problem solving skills with an emphasis on product

development. Business-minded data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods with 6 months of experience in managing data science projects.

Well versed with predictive modeling, data processing, data mining algorithms to solve challenging business problems and creating efficient algorithms to improve data quality; identifying, evaluating, designing, and implementing statistical analyses . Involved in Python open source community and passionate about brining machine learning, deep reinforcement learning to Business.

Academics

2 Sep

2012 –

Present

● B.Tech in Electronics and Communication

Visweshwaraya Technology University

(persuing in final year)

3 Aug

2019

● Data Science Course

DataMites Bangalore

• Participating in Predictive analysis and decision making on choosing the right approach on machine

learning projects.

• Worked on Data Mining with Python(Jupyter), EDA, Data Visualization, Machine learning Modeling

• Deriving valuable insights with the historical data using Visualization tools like, Matplotlib and Seaborn. And forecasting the behaviour for future where

necessary

Certifications and Awards

16 Oct’

2019

Certified Data Scientist Foundation

International Association of Business Analytics (IABAC) Page 1

Personal Information

Email

ada6w5@r.postjobfree.com

Phone

+91-966*******

Linkedin

www.linkedin.com/in/rohan-

advani-369r369

Technical Skills

Python, Numpy, Pandas,

Sklearn

Expert ● ● ● ● ●

SQL

basic ● ● ● ● ●

Data Visualization, Tableau,

Matplotlib.

Expert ● ● ● ● ●

Machine Learning Modeling

Expert ● ● ● ● ●

Statistics, EDA

Expert ● ● ● ● ●

Deep Learning, CNN

Intermediate ● ● ● ● ●

Soft Skills

Problem Solving, Critical

Thinking

Expert ● ● ● ● ●

Creative and Interpersonal Skills

Expert ● ● ● ● ●

Rohan Advani

Certified Data Scientist

Other details

Address:#175,2nd floor,RMV

2nd stage,KGE layout 2nd

cross,New Bel road,Bangalore-

560094

Projects Annexure

1 Oct

2019

Project : Employee Performance Analysis

Client: DataMites Project

Project Description: The Data science project which is given here is an analysis of employee performance form INX Furture Inc. The project goal is to find the performance rating of the employees from each feature of their data such as total work experience, gender, department, current role. The machine learning model has been fitted and predicted with the accuracy score.

Contribution: I accountable for the project delivery. i worked in defining clear business problem and with understanding the variables and modelling ML – algorithm XGBOOST. Data were analyzed by describing the features present in the data. The machine learning model has been fitted and predicted with the accuracy score.

25 Oct

2019

Project : Sales Affectiveness

Client: DataMites Project

Project Description: The purpose of this project is to understand the relationship of each variable with outcome variable using graphs and generate useful information for the client.

Contribution: I worked in Machine Learning modelling and evaluation from exploratory data analysis (EDA), feature engineering, model building and evaluation. Data contains current customer applications with demographic data. This project required significant data cleaning and transformation.

18 Oct

2019 Project : Flight Data Analysis

Client: Hackathon Project

Project Description: Predict ticket volume, auto categorizing ticket. Contribution: I was involved from initial discussion of this project till the final delivery. There was challenges with data, as there were significant wrong entries and human biases were present . I used ITSM knowledge with data science technique to transform the data, used XGBOOST to create classifier with 92% accuracy. Project was successfully delivered and deployed at client location. 22 Nov

2019

Project : ITSM

Client: DataMites Project

Project Description: Predict ticket volume, auto categorizing ticket. Contribution: I used ITSM knowledge with data science technique to transform the data. Used Random Forest Classifier to create Priority tickets with 89% accuracy.

Page 2

Interests

Sports, Volunteer work,

Music,Travelling, and

Exploring

Languages

Business English

Expert ● ● ● ● ●

Hindi

Intermediate ● ● ●

Contact this candidate