Viresh Ambardar

Data Engineer

About Me

With a wealth of experience, I bring expertise as a Data Engineer proficient in crafting scalable data infrastructure, excelling in ETL processes, and optimizing data pipelines. Leveraging a dynamic skill set that includes Python and Apache Spark, I ensure the meticulous extraction, transformation, and loading of extensive datasets. My commitment as a quick learner aligns with the goal of delivering top-tier data solutions, facilitating informed decision-making within the fast-paced dynamics of professional environments.


Work Experience

Data Enginner at Edgematics Company logo Edgematics Solutions
July, 2023 - Present
As a Data Engineer within the company, my role revolves around the comprehensive management of data. This entails the meticulous cleaning and transformation of raw data into curated formats leveraging PySpark, facilitating the creation of Dashboards by Data Analysts and enabling Data Scientists to conduct predictive modeling with increased accuracy. My responsibilities contribute to the seamless flow of high-quality data, optimizing the analytical processes and supporting data-driven decision-making across the organization.
Associate Software Engineer at AiHawks Company logo AI Hawks Software Solutions pvt Ltd.
December, 2022 - June, 2023
This position necessitated versatility, compelling me to engage with a diverse range of technologies. Consequently, I developed proficient skills in Python, utilizing Django as a primary framework. Additionally, I gained experience in JavaScript, particularly within the context of the NodeJS framework. This multifaceted exposure has honed my ability to navigate and contribute effectively to projects involving varied technological stacks.
Data Science intern at Corizo Company logo Corizo
Sept, 2022 - Nov, 2022
  • Gained foundational knowledge in Python, SQL, Statistics, and Machine Learning algorithms.
  • Developed hands-on experience with Machine Learning, completing a project on Flight Price Prediction using classical machine learning techniques and boosting methods.
  • Conducted Sentiment Analysis using natural language processing (NLP) tools like NLTK, Spacy, and Scikit-Learn.

Professional Skills

Languages

Python
PySpark
SQL
JavaScript

DataBase

MySQL
MongoDB
Snowflake
Amazon S3

Experties

Machine Learning
Deep Learning
PyTorch
Tensorflow/Keras

Framework Knowledge

Hadoop
DataBricks
Apache Spark
Django & ReactJS

Projects

Real-time Squat Counter
Ai Hawks
Developed a Machine Learning model for Squat counting using MediaPipe and OpenCV libraries, with a user-friendly interface created in Tkinter. Leveraging MediaPipe's pose estimation models in real-time video streams. OpenCV is employed for video processing tasks, such as frame extraction and preprocessing. The application provides accurate feedback on squat counts, enhancing workout performance monitoring and analysis.
Real-time Squat Counter
Ai Hawks
Developed a Machine Learning model for Squat counting using MediaPipe and OpenCV libraries, with a user-friendly interface created in Tkinter. Leveraging MediaPipe's pose estimation models in real-time video streams. OpenCV is employed for video processing tasks, such as frame extraction and preprocessing. The application provides accurate feedback on squat counts, enhancing workout performance monitoring and analysis.
Automated Dashboard
Ai Hawks
Developed an automated software utilizing Google API, Selenium, and Openpyxl to scrape values from Google Sheets across various branch folders. The software then updates the main report sheet located in a different folder. Additionally, created a user-friendly GUI using Tkinter for conveniently updating the sheet code on a yearly basis.
Social Sentiment Analysis
Ai Hawks
Developed an advanced sentiment analysis system tailored for social media content, employing cutting-edge natural language processing (NLP) techniques. Leveraging machine learning models and sophisticated NLP algorithms, the system accurately interprets and analyzes the sentiment expressed in social media posts.
Audio Transcription Model with OpenAI and Streamlit
Ai Hawks
Designed and implemented a transcription model utilizing OpenAI's Whisper technology for efficient and accurate audio transcription. Integrated with Streamlit as the frontend interface, the system offers a user-friendly platform for audio file input and real-time transcription output. The model ensures high-quality transcription results across various audio/video formats and languages, enhancing productivity and accessibility in transcription tasks.
Capstone Project 1
Imarticus learning
Completed a diploma capstone project on flight price prediction. Conducted meticulous data cleaning and in-depth exploratory analysis, employing various ML algorithms to build accurate predictive models. Selected the best-performing model through rigorous evaluation, refining skills in data preprocessing, ML modeling, and evaluation. The best-performing model was selected based on training and test data performance. Notebook
Capstone Project 2
Imarticus learning
Undertook a deep learning capstone project during my diploma to gain practical experience with Neural networks. Utilized PyTorch to develop a model for breast cancer detection, focusing on data preprocessing, network design, training, and evaluation. This project aimed to provide hands-on experience and enhance understanding of deep learning principles, particularly in medical data analysis and tumor classification. Notebook

Certificates

The module covers SQL programming for data querying and Python for data science tasks, including Visualization. It introduces Statistics, Machine learning concepts , and explores data visualization using Tableau and Power BI, emphasizing effective communication of insights to stakeholders.
Overlay Image ×
Gain an immersive understanding of the practices and processes employed by a junior or associate data analyst in their daily responsibilities. Learn to proficiently clean and organize data for analysis, perform calculations using spreadsheets, SQL, and R programming, and master the art of visualizing and presenting data findings through dashboards, presentations, and common visualization platforms.
Completed "Apache Spark 3 Essentials" course, mastering core architecture, distributed data processing, and Spark SQL for structured querying. Hands-on experience in optimizing Spark applications and utilizing advanced features like machine learning and graph processing libraries. Enhances proficiency in big data analytics.
Overlay Image ×
Completed a "Web Development" course on Internshala, acquiring skills in HTML, CSS, Bootstrap, and ReactJS for frontend development. Additionally, gained proficiency in PHP for backend development. This training enhances my capability in full-stack web development.

Education

Masters in Data Science from Christ University logo CHRIST (Deemed to be University)
2020 - 2022
  • Gained deep expertise in Mathematical Foundations, Probability and Statistics, Data Science Principles, and Research Methodology.
  • Hands-on programming in Python and R for data analysis, along with exposure to Database Technologies.
  • Developed proficiency in Machine Learning, Regression Analysis, Multivariate Analysis, and Deep Learning.
  • Studied specialized topics such as Neural Networks, Time Series Analysis, and Natural Language Processing (NLP).
  • Completed an Industry Project, applying theoretical concepts to real-world data challenges.
M.B.S.Collage of Engineering & Technology affiliation with University of Jammu
2016 - 2020
During my mechanical engineering studies, I not only focused on core engineering subjects but also explored programming languages like C and Java. This exposure sparked my interest in coding, giving me a basic understanding of software development. Studying these programming languages not only expanded my skills but also allowed me to explore the connection between mechanical engineering and computer science. This experience led to a strong interest in coding and its various applications, encouraging me to approach problem-solving with a multidisciplinary mindset.
Senior High Secondary Kendriya vidyalaya Bantalab
2014 - 2016
Completed Senior High Secondary with a focus on both Medical and Non-Medical subjects from the Central Board of Secondary Education (CBSE).

Contact

Address

East Sapphire Flat no 302 E/F, The Nest, Sector 45, Goutam Buddha Nagar, Noida, 201031

Phone

+91-9149869687

Email

ambardarviresh18@gmail.com