Junior Data Scientist

*

PRASANTH.C

Mobile: +918*********

E-mail: ******************@*****.***

LinkedIn : https://www.linkedin.com/in/prasanthchandransekara College Name: Sri Manakula Vinayagar Engineering College. OBJECTIVE:

To work in a role where I can leverage my skills and experience for the betterment of the Organization and further improvement to my own learning. PROFESSIONAL SUMMARY:

Python developer and Data science learner have six month of learning experience leveraging statistical modeling, data visualization, data processing, data mining, machine learning, deep learning algorithms to solve challenging business problems and natural language processing. One year of extensive experience as Python developer.

TRAININGS:

Attended Six months of training on “Data Science Masters Course” (200 hours content.) Institute: Applied AI Course ( https://appliedaicourse.com )

Got the exposure to the following areas of Data Science such as Python Programming, Statistical Learning, Machine Learning (NumPy, Pandas, Matplotlib, Seaborn, SKlearn Libraries), Natural Language Processing, and Deep Learning (Keras, Tensor Flow).

Knowledge in Data Analysis, visualization, statistics, programming and Machine Learning techniques.

Extensive Model building experience with Machine Learning algorithms for Product.

Knowledge in creating mature Data science pipelines encompassing Data standardization, Feature extraction, model validation and optimization.

Exploring and visualizing data to drive insights.

Importing data from various sources and using numerous APIs.

Knowledge in feature selection using filter methods, wrapper methods, embedded methods and feature importance.

Advance knowledge of ML algorithms such as Ensemble Models, Ada-boost, Gradient- Boosting, Kernel-KNN, Grid search, Random Forest, Decision Tree, SVM, Linear Regression, Ridge, Lasso, Pipeline, Feature Union, Cross Validation, KFold.

Extensive knowledge in XGBoost algorithm.

Extensive knowledge in Deep learning Algorithm such as MLP, CNN, RNN, LSTM, GAN.

Hyper-parameter tuning to improve the model.

Validation metric for Regression and classification algorithms including classification report.

In-depth expertise with a rich repertoire of Regression, Classification, Clustering/Unsupervised learning, Recommender system and Dimensionality reduction algorithms.

Tools known: Anaconda, Pycharm, Jupiter Notebook, SQL Server, MySQL, GitHub. 2

EXERIENCE DETAILS:

I worked in MM Gears Pvt ltd, Coimbatore for one year where my designation was Trainee Design Engineer.

I had done Internship at Wise Tech Solutions, Guindy for a month where I had done Trainee Tracking system project.

Now I am working as Python developer from January 2020 in Sparky Entertainment pvt ltd, Guindy where I create tools for production using Maya API in Python and automating the tasks through python scripts.

PROJECT ON INTERNSHIP:

TITLE: TRAINEE TRACKING SYSTEM (Windows App)

TECHNOLOGY USED: Python 3.4, SQL Server, Modules used in Python such as tkinder, Pyobdc, tkcalendar, calendar, datetime, Pydoc.

SCOPE: To develop Attendance system, End to end Trainee/Internship management, Attendance system, Registration part, Mentor tracking and Certificate generation using Tkinder GUI.

DESCRITION: It help to maintain the attendance and monitor the progress of the intern or trainees. This allow to get the complete details like start/end date of intern/trainee and to unload their biodata / project details /queries online. After the end date, it should check whether the trainee/intern have completed their given scenario / case studies and the same should have been evaluated by their mentor/ project managers. Once the same has been done successfully, it should generate an intern/Training completion letter, which should be downloaded.

ACADEMIC PROJECT:

TITLE: SMART STEAM FOOD MAKER (Mechanical project)

OBJECTIVE: The main objective of our project is to reduce the work stress for home makers by simplifying their cooking process in a finger touch.

ACHIEVEMENT IN THIS PROJECT:

Got funds of Rs 50,000 from “The Institution of Engineers (India) R&D Grant-in-aid Scheme” for this project.

Project has been recognized as best academic project for the year 2016-17.

The compendium of our project was published by IEI in their website.

WEB REFERENCE:

https://www.ieindia.org/webui/ajax/Downloads/WebUI_PDF/Publication/Compendi um_Vol6.pdf (ref pg- 82).

3

ACADEMIC DETAILS:

STRENGTH:

Positive Attitude: To progress positively under all circumstances with conviction and maturity in approach.

Adaptability & Flexibility: To adapt accordingly under the application of adverse or pressure conditions without deviating from critical to quality concerns.

Having good logical thinking, listening skill, analytical skill, organizing skill and have ability to learn things faster.

Enthusiasm for Learning: Endlessly strives to learn through different activities. PERSONAL DOSSIER:

Age & Date of Birth : 25 & 13/09/1995

Father’s Name : V. Chandra Sekaran.

Gender & Marital Status : Male & bachelor.

Nationality : Indian

Current Address : No.12, Shanmuga raja street,Ekkattuthangal,Chennai.

Permanent Address : No.2/220, mainroad, Innambur (p/o),Kumbakonam (t/k). ENDORSEMENT:

I hereby declare that the details furnished above are complete and true to the best of my knowledge.

Place: Chennai.

Date: 19/09/2020. C.Prasanth.

SI

No

Course Name of the

Institution

Board /

University

Year of

Passing

Percentage

/ CGPA

1 B. TECH

(MECHANICAL)

Sri Manakula

Vinayagar

Engineering college

Pondicherry

university

2017 7.55 CGPA

2 HSC Christ the king

Matric Hr Sec school

State Board 2013 76.91 %

3 SSLC Christ the king

Matric Hr Sec school

Matriculation 2011 90.80 %

Contact this candidate