Shashank is seeking a challenging opportunity that utilizes his skills in machine learning, data preparation, and data visualization. He has experience with Python, R, SQL, and has completed projects involving advertisement click prediction, movie recommendation systems, disease detection using random forests, and university clustering. He has internship experience in machine learning and R at Reliance Industries and IIT Guwahati.

1. SHASHANK
Email: shashankgh577@gmail.com |LinkedIn: linkedin.com/in/shashank-502a5014b
GitHub: github.com/shashank352 | Phone: +91-9801023421
Objective
Seeking a challenging opportunity in an organization which recognizes and
utilizes my true potential while nurturing analytical and technical skills.
Summary
Having good knowledge in Machine Learning Algorithms and pre-processing of
data using python. Having logical and analytical mind-set for data preparation and
data visualization. Also have done job in R programming and SQL.
Education
BIRLA INSTITUTE OF TECHNOLOGY MESRA RANCHI
Bachelor of Engineering in Chemical Engineering | CGPA: 7.9 June 2020
DELHI PUBLIC SCHOOL BOKARO STEEL CITY
Intermediate in Science | Percentage:89 May 2015
DAV PUBLIC SCHOOL COLLEGE ROTARY CAMPUS GAYA
Matriculation | CGPA: 10 May 2013
Projects
1. Viewers of the advertisement
Advertising data set is explored indicating whether or not a particular internet user clicked on
an advertisement of a company website. Model is created that will predict whether or not they
will click on an ad based off the features of that user.
Language:Python
2. Movie Recommender System
Basic recommendation system is developed by using python and Pandas.This is a content based
recommender system which suggest the movies that are similar to a particular choice
Language:Python
3. Detection of Kyphosis by using Random Forest Model
Here,for this project data of Kyphosis csv file has been explored and build a random forest model which
helps the detection of Kyphosis.Here,also the result of random forest model is compared with decision
tree.
Language:Python
Libraries/Packages:
Pandas,NumPy,Matplotlib,Seaborn,ScikitLearn,DecisionTreeClassifier,RandomForestClassifier,
train_test_split,confusion_matrix,classification_report

2. 4. Clustering of universities into two groups:Private and Public
In this project,KMeans Clustering unsupervised learning algorithm is used to cluster universities into two
groups:Private and Public.Libraries/pakages:Pandas,NumPy,Matplotlib,seaborn,Scikit-
Learn,KMeans,confusion_matrix,classification_report
Language:Python
Internship and training
Reliance Industries Limited,Jamnagar,Gujarat
Position:Summer Intern
May 2019 – July 2019
Role: Work on the improvement of delayed coker heater run length at coker unit of site Special
Economic Zone in Reliance Jamnagar, Manufacturing Division.
Tools/Skill:RStudio,Machine Learning
Language:R
IIT Guwahati
Position:Summer Research Intern
May 2018-June 2018
Role: Modeling of a radial flow hollow fiber module and estimation of model parameters for
aqueous multi-component mixture using numerical techniques.
Tools:MATLAB
Technical Skills
Languages : C, Python, R
Databases : SQL
Tools : RStudio,Jupyter Notebook,MS Excel, MS PowerPoint
Interpersonal skills : Management,Teamwork,Leadership,Communication skill
Packages/Libraries : Seaborn,Pandas,NumPy,Matplotlib,Scikit-Learn
Machine Leaning Algorithms: Decision trees, K-means clustering, KNN classification, Random
forest, Support Vector Machine (SVM), Natural Language Processing(NLP),Logistic
Regression,Linear Regression.
Data Visualization,data Wrangling,predictive modeling
Achievements:
 ZS Data Science Challenge-2019 organised by ZS Associates
Rank:335 among 10,000 contestants
 AmExpert 2019 Machine Learning Hackathon organised by Analytics Vidhya in
association with American Express
Rank:518 among 6000 contestants
Leadership and Volunteering Experience
 FINE ART SOCIETY Birla Institute of Technology Mesra.
Position:Craft Head Duration:July 19-April 20
 Indian Institute of Chemical Engineers(IIChE),BIT Mesra,Student Chapter
Postion:Resource Head Duration:July 18-April 19