Darshil Parmar

Darshil Parmar

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Founder @DataVidhya | Crack Data Engineering Interview with Us | 🎥YouTube (200K+) @Darshil Parmar
Mumbai, Maharashtra, India

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Jobs verified_user 0% verified
  • DataVidhya
    Founder
    DataVidhya
    Feb 2023 - Current (3 years 7 months)
    At Data Vidhya, we believe that the best way to learn is through hands-on practice and building projects. That's why we offer courses that enable you to apply what you've learned and see the results for yourself. With a strong understanding of fundamentals and modern data engineering tools, you'll be able to master high-demand skills and take your career to the next level
  • Wayfair
    Senior Data Engineer
    Wayfair
    Apr 2020 - Dec 2022 (2 years 9 months)
    - Successfully led the migration of our database system from MSSQL to GCP BigQuery, utilizing tools such as AirFlow and SQL script replication, resulting in a 30% improvement in overall performance. - Designed a real-time pipeline for daily reports, allowing for a refreshing rate increase from every 4 hours to every 10 minutes on DataStudio. - Migrated more than 50 SQL procedures, resulting in a 60-70% improvement in overall performance. - Collaborated with business stakeholders to understand their requirements and ensure timely delivery of accurate data. - Implemented automated monitoring of pipelines through code, reducing daily manual monitoring time from 2-3 hours. - Optimized our ETL system and migrated 15+ dashboards from Tableau to D
  • freelance
    Senior Data Engineer
    freelance
    Dec 2019 - Current (6 years 9 months)
    As a data expert, I possess a proven ability to deliver successful short or long-term projects in data engineering, data warehousing, machine learning, and business intelligence. My passion is to collaborate with my clients to provide outstanding, scalable data solutions that deliver immediate and long-lasting value. My areas of expertise include: -> Advising on data strategy and providing technology selection and recommendations -> Building data warehouses using modern cloud platforms and technologies -> Designing and automating data pipelines, real-time streaming, and ETL processes -> Creating highly intuitive, interactive dashboards -> Data cleaning, processing, and machine learning model development -> Data migration (both heterogeneo
  • Mactores
    Data Engineer
    Mactores
    May 2019 - Apr 2020 (1 year)
    - Led a team of 2 employees and 1 intern to successfully deliver large-scale data engineering and science projects. - Expertly migrated over 100TBs of data from SQL Server to Amazon Redshift using AWS DMS & SCT, resulting in a 23% improvement in overall performance. - Processed 10 billion real-time bitcoin transaction data using GCP DataFlow, Pubsub, and BigQuery for analytics. - Led a team of 3 employees to migrate more than 1500 SQL ETL scripts from Netezza to Redshift using AWS Glue, resulting in a 44% improvement in performance. - Successfully migrated the complete data system from on-premises to the AWS Cloud using services such as Lambda, Athena, Redshift, Glue, EMR, and Kinesis. - Experience working with AWS and GCP cloud technologie
  • Mactores
    Trainee Data Engineer
    Mactores
    Nov 2018 - Apr 2019 (6 months)
  • Exam Preparation Online
    Data Science Intern
    Exam Preparation Online
    Jun 2018 - Aug 2018 (3 months)
    Worked on core Natural Language Processing (NLP) for handling text data. The algorithm was responsible for extracting high-quality keywords from the text documents, visualizing data, finding patterns from them and helping the employer in recruiting the best interns. Task: Scraping Websites, Data Cleaning, Lemmatization, Removing Stop-words, Visualising and Finding Insights from data. Algorithms/Technologies: Term Frequency-Inverse Document Frequency(TF-IDF), N-Gram Models, Bag of words, Latent semantic analysis (LSA), NLTK, SpaCy, sci-kit learn, NumPy, Pandas.
  • Elegendsin
    Full Stack Web Developer
    Elegendsin
    May 2016 - Aug 2016 (4 months)
    Responsible for handling Social E-Commerce website, adding new features and handling responsiveness of the website. Developed sellers panel for an E-Commerce website and worked on the OpenCart framework. Technologies : OpenCart, MVC, PHP, HTML/CSS, JQuery, MySQL.
Education verified_user 0% verified
  • K J Somaiya Institute of Technology
    Bachelor’s Degree, Information Technology
    K J Somaiya Institute of Technology
    Jan 2016 - Jan 2019 (3 years 1 month)
    Chief Engineer of Computer Society of India(CSI) Technical Admin of Career Opportunities for Engineering Students in the Public Sector( COEPS) Cell. Technical Head of Student Council. Jt. Technical Head of Computer Society of India (CSI)
  • S
    Diploma, Information Technology
    Shree Bhagubhai Mafatlal Polytechnic
    Jan 2013 - Jan 2016 (3 years 1 month)
    Diploma in Information Technology.
Projects (professional or personal) verified_user 0% verified
  • W
    Web Scrapping Amazon Website
    Jun 2018 - Current (8 years 3 months)
    Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. This system scraps the amazon website and extracts the Product Name, Ratings and Review in .csv file.
  • F
    Face_Recognition_System_FaceNet
    Jun 2018 - Current (8 years 3 months)
    A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiples methods in which facial recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database.
  • F
    Face Landmarks Detection
    Jun 2018 - Current (8 years 3 months)
    A facial landmarks detection system is a technology capable of detecting a person from a digital image or a video frame from a video source. There are multiples methods in which facial detection systems work, but in general, they work by comparing selected facial features from given image with faces within a database.
  • K
    Keyword and Key Phrases Extraction From Text NLP
    Jun 2018 - Current (8 years 3 months)
    Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. This system extracts the keywords and key phrases from text and assigns ranks.
  • E
    Exam Notes Detection
    Apr 2018 - May 2018 (2 months)
    At the time of exams most of the time student share their notes via social media and after the exam gets over it become really difficut to delete all those images manually. So face this problem I have created this system which detects exam notes(pictures which are clicked from mobile camera) and deletes it.
  • E
    Employee Tracking
    Aug 2017 - Jan 2018 (6 months)
    Real-time tracking of the employees. Web application and Mobile App. Technologies used: Google Maps API, Firebase, JQuery, HTML, CSS(Materializecss), Android.
  • H
    HomeRunners
    Jan 2016 - Mar 2016 (3 months)
    Final year project in diploma.3 members in a group. Worked on back-end part The project was on real estate website i.e. housing and magic-bricks.
Awards verified_user 0% verified
  • Fr Conceicao Rodrigues College of Engineering
    Won first prize at UNSCRIPT 2k19 Hackathon
    Fr Conceicao Rodrigues College of Engineering
    Won the 1st prize at Hackathon held at Fr. Conceicao Rodrigues College of Engineering. Developed food classification product which detects the food from the clicked image and provides guidance to live a healthy lifestyle.
  • T
    Won First Prize at National Level Project Competition - INTECH 2019
    The Institution of Engineering and Technology
    At National Level Project Competition - INTECH 2019, presented our project "ABSTRACTIVE TEXT SUMMARIZATION USING ARTIFICIAL INTELLIGENCE"
  • K
    Conducted workshop on Python Programming
    KJ Somaiya College of Engineering and Information Technology
    Conducted 3 days long workshop on Python programming and Android. Aim of the workshop was to teach students how to develop end to end Machine learning projects using Python and Android.
  • Computer Society of India
    Conducted Data Science Workshop
    Computer Society of India
    Conducted workshop on Data Science for 2nd and 3rd-year students in the college.
Publications verified_user 0% verified
  • A
    ABSTRACTIVE TEXT SUMMARIZATION USING ARTIFICIAL INTELLIGENCE
    Apr
    Text summarization is the process of creating concise summary of text. There are two main approaches to summarization namely extractive and abstractive method. Most of the system summaries use extractive method. Amongst few abstractive models available there are two models namely sequence to sequence and LSTM bidirectional model. In this work,we compare the performance of above two models using ROUGE and BLEU score on Amazon reviews and CNN news dataset.
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