Skip to content
View Ashleshk's full-sized avatar
77 followers · 2 following
  • Masters in Data Science
  • Chicago, Illinois
  • X @ashlesh98

Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
BetaSend feedback

Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
BetaSend feedback
Block or Report

Block or report Ashleshk

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ashleshk/README.md

Hi there, I'm Ashlesh Khajbage!

Welcome to my profile😊 , I hope the studies I present will be helpful to you💪 .

Master's in Data Science graduate with expertise in data engineering, analysis, and science, seeking full-time roles.

With 3 years of professional experience in both Data Engineering and Analysis, I am eager to transition into a full-stack Data Engineer role within the Finance Services, Media and Entertainment, or Health and Life Sciences industries. My passion lies in leveraging ETL tools to solve data-driven problems and make a tangible impact. Alongside my expertise in statistics, machine learning, deep learning, natural language processing, and big data techniques, I am particularly drawn to opportunities in Data Engineering, Data Analysis, or Data Science roles.

Data Engineer Proficiency

  • ETL (Extract, Transform, Load) Tools: Apache Spark, Apache Airflow, Talend, Informatica PowerCenter, and Microsoft SSIS (SQL Server Integration Services).
  • Big Data Platforms: Apache Hadoop, HDFS, Hive, HBase, Apache Kafka
  • Data Warehousing Solutions: Microsoft Azure SQL Data Warehouse, Google BigQuery, Snowflake.
  • Database Management Systems (DBMS): PostgreSQL, MySQL, Oracle, Microsoft SQL Server, and MongoDB.
  • Cloud Platforms: Microsoft Azure, Google Cloud Platform (GCP), and AWS.
  • Data Integration and Visualization Tools: Tableau, Microsoft PowerBI, QlikView, and Looker.
  • Version Control Systems: Git.
  • Programming Languages: Python, Java, Scala, and SQL.

Certifications

  • Microsoft : Azure Data Engineer Associate - link
  • DataBricks : Generative AI Fundamentals - link
  • DataCamp : Associate Data Analyst link
  • DataCamp : Associate Data Scientist - link
  • Google : Google Data Analytics - link
  • IBM : IBM Data Science - link
  • DeepLearning.ai : Deep Learning & Practical Data Science Specialization - link 1 -link 2

[:purple_heart:] I hold a Data Science degree from the Illinois Institute of Technology, where I completed a rigorous curriculum covering Applied Statistics, Probabilities and Statistics, Machine Learning, Big Data technologies, Data Preparation and Analysis, Data Science Practicum, Deep Learning, Natural Language Processing, Project Management, Introduction to Algorithms, and Monte Carlo Methods in Finance.

[:mailbox:] I always believe that i will learn something new from others, that's why I appreciate connection! You can connect me on Linkedin or feel free to throw me a letter via ashleshuk@gmail.com.

githubbadge Gmail Badge Facebook Kaggle Badge ashleshK

Find me on:

LeetCode: leetcode.com/Astro_boy/
Geeksforgeeks: geeksforgeeks.com/ashleshkhajbage
HackerRank: hackerrank.com/ashleshuk

Connect with me:


Pinned

  1. Emotion-Sentiment-Classification-of-Product-Reviews-on-Twitter Emotion-Sentiment-Classification-of-Product-Reviews-on-Twitter Public

    Emotional Sentiment Analysis using AWS SageMaker Spark

    Jupyter Notebook 3

  2. Data-Science-Zillow-Real-Estate-Market-Analysis Data-Science-Zillow-Real-Estate-Market-Analysis Public

    Performed Data Wrangling, Data preprocessing, Visualization and Analysis to predict price using Regression pipeline.

    Jupyter Notebook 2

  3. Vehicle-Detection-using-Aerial-Imagery-using-deep-Learning-Algorithm Vehicle-Detection-using-Aerial-Imagery-using-deep-Learning-Algorithm Public

    The project aims at analyzing the various aerial images and solving any particular field (Vehicle detection) or sector related problems

    1

  4. graduate-Database-Organization graduate-Database-Organization Public

    1

  5. TableaU-PowerBI-Visualisation-Learning-path TableaU-PowerBI-Visualisation-Learning-path Public

    hands-on project on Prepare, Clean, Transform, and Load Data using TableaU & Power BI.

    2

  6. Mini-Projects Mini-Projects Public

    Implemented Content-Based Movie Recommeder System, Covid-19 Recognition using AI, Automated Tweet Generator, Fake Job Detection, US Consumer Finance Complaint Classification

    Jupyter Notebook 4