CAREER OBJECTIVE

OBJECTIVE

EDUCATION

HOBBIES

LANGUAGES

CONTACT

Aspiring Data Analyst, PGP in Data Analytics from Imarticus Learning Pvt.Ltd. and Looking for opportunities in Data Science and Machine Learning to manifest my skills by being a part of the progressive organization that gives me challenging opportunities in Data Science and Analytical field where I can excel with hard work, perseverance and dedication using my skills, knowledge and experience acquired during my academic studies. adm20v@r.postjobfree.com

826-***-****

https://www.linkedin.co

m/in/vivek-dhokate-

96003a195/

CHANDRANGAN SOCIETY,

PHASE-6-B, FLAT No. - 05,

AMBEGAON (BK.), KATRAJ

PUNE – 411046.

SOFT SKILLS

• Reading Books

• Photography

• Trekking

• English

• Hindi

• Marathi

• Teamwork

• Possess strong analytical

and problem solving

skills, with the ability to

make work done

• Punctuality

• Determination

Academic Achievements

• NSS - Student President

2016-17.

• SITS 2018-19 Sinhgad

Karandak- General

secretory, Event Head of

various Institute level

activities).

VIVEK DHOKATE

Data Analyst

HSC [49 %]

Imarticus Learning Private Limited, Pune

January 2021

Post graduation Program in Data Analytics [90 %]

Sinhgad Institute of Technology and Science, Pune

J. H. Ambani Petrochemicals Vidhyamandir, Nagothane J. H. Ambani Petrochemicals Vidhyamandir, Nagothane February 2012

March 2010

SSC [74.18 %]

TECHNICAL SKILLS LIBRARIES KNOWN

EXPERIENCE

• Deep Learning

• Machine Learning

• Data Visualization

• Text Analytics

• Data Analytics

• Image Processing

• Tableau

• Power BI

• Sklearn

• Keras

• NLTK

• Seaborn

• Matplotlib

• Tensorflow

ALGORITHMS KNOWN

Linear Regression, Decision Tree, Logistic Regression, Random Forest, Bagging, Boosting, KNN, K-Means Clustering, SVM, Neural Networks, Convolutional Neural Networks, Time Series, NLP, Statistical Methods. ORGANISATION - SKKATO INDIA PVT. LTD.

EXPERIENCE - 6 MONTH

DESIGNATION - Quality Analyst

WORK PROFILE - Identified and rectified the defects on ongoing production line mechanical parts that were being produced by molding machines to ensure production and supply of zero defects and good quality parts as well as generate monthly Statistical report of defective and good parts by doing Statistical analysis using Microsoft Excel.

July 2019

BE MECHANICAL [64.66 %]

INTERNSHIP

ORGANISATION - The Sparks Foundation

EXPERIENCE - 1 MONTH

DESIGNATION - Data Science & Analytics Intern

WORK PROFILE - Used Supervised and Unsupervised Machine Learning Algorithms to solve real world problems. Used business analytics for the exploratory data analysis.

PROJECTS

A) Default Bank Credit Card Default Prediction

Tool/Frameworks - Machine Learning, Python.

Details - Predicted the appropriate customers for default payment for credit cards to ensure justified credit card service for both, bank and customers. Applied various machine learning algorithms for classification like Logistic Regression, Decision Tree, Random Forest, Ada Boost, Gradient Boosting.

B) Property Price Prediction

Tool/Frameworks - Machine Learning, Python, Tableau. Details - Predicted relevant selling price of various properties based on its features like Lot Size, Neighborhood, House Condition, Construction Year, etc. Applied supervised machine learning algorithms for regression like Linear Regression, Ridge and Lasso Regression. ORGANISATION - MedTourEasy

EXPERIENCE - 1 MONTH

DESIGNATION - Data Analyst Intern

WORK PROFILE - Used Supervised and Unsupervised Machine Learning Algorithms to solve real world problems. Identified the pattern and trends in data sets and analysed the result and I showcased my data visualization and presentation skills.

C) Traffic Signs Recognition

Tool/Frameworks - Machine Learning, Python, deep neural network

(CNN).

Details - Build a deep neural network (CNN) model that can classify traffic signs with this model, we are able to read and understand traffic signs which are a very important task for all autonomous vehicles and self-driving cars.

PROGRAMMING

LANGUAGES KNOWN

• PYTHON

• R

• SQL

• SAS

• HADOOP

Contact this candidate