NILESH VERMA

Passionate about Data Science & AI, bringing positive and notable impact on the industry using artificial intelligence techniques, solid programming skills, knowledge of end-to-end data science pipeline from scrapping to deploying applications, having strong analytical thinking, problem-solving and presentation skills.

WORK EXPERIENCE

Feb 2021 - Present
Ganani.ai, Banglore, India

NLP Intern

Working on Speech Analytics, Creating NLP models for Reaginoal Languages ex. Hindi, Tamil, Marathi etc. Evaluating NLP models with existing models and Deploying as API.

Jan 2021 - Feb 2021
TaskBench, Chennai, Tamil Nadu, India

Data Engineer Trainee

Worked on a data cleaning, data preprocessing and Autometting data loading in a cloud server (SaaS platform) using Selenium and Python programming.

July 2020 – Dec 2020
J P Data Solution Ltd, Remote Work

Data Scientist Intern

Engage in all project lifecycle stages, including requirements/needs gathering, data collection and labelling, data transformation/processing, building & validating models, and deploying working AI/ML solutions. Performing explanatory data analysis (EDA), designed dashboards using PowerBI and SQL.

Jan 2020 - Jun 2020
Atal Bihari Vajpayee Vishwavidyalaya, Bilaspur, India

AI Research Internship

Conducted in-depth research into six unique AI-based project topics as directed by the professor/mentor. Researched and implemented appropriate ML/DL algorithms and tools resulting in effective and efficient outcomes. Experimented with different models, measuring performance and selecting best and efficient solutions. Published Research Papers with Web-Based Working GUI and Cloud Hosting.

TECHNICAL SKILLS

Programming

PYTHON

90%

C++

60%

SQL

60%

Tools

Microsoft Visual Studio Code,

75%

Anaconda IDE

85%

Google Sheet

85%

Excel

70%

Web Scraping

80%

Jupyter Notebook

90%

Upskilling

Power BI

50%

AWS Cloud

40%

NoSQL(MongoDB)

50%

PySpark

30%

Frameworks

Pandas

80%

NumPy

60%

Scikit-learn

80%

Keras

80%

TensorFlow

70%

Fast.ai

50%

BeautifulSoup

75%

NLTK

70%

Spacy

75%

OpenCV

60%

Flask

80%

Visualization

Seaborn

80%

Plotly

70%

EDUCATION DETAILS

2020
Atal Bihari Vajpayee Vishwavidyalaya, Bilaspur

M.Sc. Computer Science & Application

89% Mark (Gold Medalist)

2017
Bilaspur University, Bilaspur

B.Sc. Computer Science and Application

83% Mark (Gold Medalist)

2014
Chhattisgarh State Board

10+2 with PCM

77% Mark

2012
Chhattisgarh State Board

High School

88% Mark (1st Rank in Class)

CERTIFICATIONS

PROJECTS DETAIL

Natural Language Processing Web App

Natural Language Processing Web App

Human Depression Detection Using Actigraphy Data & Social Media Data

Human Depression Detection Using Actigraphy Data & Social Media Data

COVIS-Health: Coronavirus Identification System for Health

COVIS-Health: Coronavirus Identification System for Health

ACHIEVEMENTS

  • Recognization of being placed 3rd in AppScript, A 48-Hours Hackathon Conducted by IEEE APSIT on 6-7th Feb 2021.
  • Secured 1st rank in The Great Indian Hiring Hackathon (November 2020) based on Foretelling the Retail price hosted by MachineHack.
  • Achieved 1st rank in Data Sprint #16: Electronic Products Pricing Hackathon (December 2020) hosted by
  • 1st rank on Robotics, Big Data, and Android Application Development university-level workshop.
  • Various state-level news cover for development of real-time covid-19 detection through CT-Scan software.
  • Clear NTA-NET exam in first attempt and eligible for assistant professor in allover India.
  • Secure 1st position in GGU (central university) admission entrance test.

PUBLICATION

  • Verma, N. "Classification of Pima Indian Diabetes Dataset using Decision Tree Techniques." International Journal for Scientific Research and Development 7.12 (2020): 114-118.
  • Hota, H., Sharma, D. Verma, N. “Lexicon-Based Sentiment Analysis Using Twitter Data: A Case of COVID-19 Outbreak in India and Abroad”. Book title: Data Science for COVID-19 (Elsevier)
  • Hota, H., Sharma, D. Verma, N. “COVID-19: Machine Learning Methods Applied for Twitter Sentiment Analysis of Indians Before and After Lockdown and During Unlock”. (Inderscience Publishers)
  • Hota, H., Sharma, D. Verma, N. “Hybrid Deep Learning Approach for Sentiment and Emotion Analysis: A Global Case of COVID-19”. (Manuscript submitted for publication)

PERSONAL INFORMATION

Date of Birth

12th Nov 1996

Address

Bilaspur, Chhattisgarh, INDIA - 495220

Gander & Status

Male & Single

Nationality

Indian

Languages Known

Professional English, Native Hindi and Native Chhattisgarhi

MEDIA CONVERGENCE