Yaman Saini Data Science
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I will help you in your ||Online Assignment || Quiz || Online Exam || Homework || Database || Data Analysis || Coding || Programming Languages Python || Machine Learning || AI || SQL || MySQL || All Mechanical Engineering Subjects ||

Experience in data science in both a formal and informal setting and having solved real-world problems. Will simplify any topic or problem and work with you on each subject so that you are able to fully understand it. I consider myself patient and fully supportive of online platforms. Not everyone can communicate clearly online, and I understand that and will work with you to deliver clear messages.

I am an IT professional at Big4. I started teaching just to help out students, but then I started liking it, so I started teaching part time on a regular basis. I have 5 years of experience teaching engineering students. I have taught math and physics to high school students and other engineering classes.

I have various skills to solve problems that depend on Python, SQL, machine learning, Deep learning, Data Science, Data Analytics, Data Visualization, Regression, Classification, Clustering, Supervised Machine Learning and Unsupervised Machine Learning, CNN.

I will help you in the following areas:
1) Machine Learning
2) SQL
3) Math's
4) Analytics
5) Mechanical Engineering All Subjects
6) Thermodynamic
7) RAC, Power Plant
8) Industrial Engineering and Operation Research
ect.

Subjects

  • SQL Beginner-Expert

  • Mechanical Beginner-Expert

  • Data Science and Machine Learning Beginner-Expert

  • Data Analysis in R/Python Beginner-Expert

  • Deep Learning Projects in Python Beginner-Expert

Experience

  • Data Engineer (Sep, 2022–Present) at Ernst & Young Pvt Ltd
    1) The business requirement was to enable access to a similar group of customers from the
    database without any coding or queries.
    2) Perform Data Pre-Processing techniques for making the data useful with the help of NLP and
    ready to fit into the machine learning models.
    3) Built a similarity-based clustering mechanism that forms clusters of similar controls (text).
    4) Create a platform through which the end user could get an output by writing a simple sentence
    in English. Finally, in Power BI, create a dashboard with the results of the end user's input.
  • Data Engineer (Jun, 2022–Sep, 2022) at FINQUEST SECURITIES PVT LTD.
    1) The primary object was to combine the same data (information) that was received from
    multiple data sources and create a new data frame.
    2) Perform web scraping to download or get the data from various reliable sources using Python.
    3) Transform the downloaded data as per the guidelines and load it into the database by using
    Python and MongoDB.
    4) Perform Data Pre-Processing to make the data useful and ready to fit into the machine learning
    models by merging the same data and giving a final data frame as a result.
  • Data Science Engineer (Dec, 2021–May, 2022) at AlmaBetter, Banglore
    1) Regression Project - NYC Taxi Trip Duration Prediction
    2) Classification Project - Bank Marketing Effectiveness Prediction
    3) Unsupervised Project - Netflix Movies and TV Shows Recommendation
  • Engineer (Dec, 2017–Dec, 2021) at Thermal Power Plant Dhampur
    1) The primary goal is to improve the incineration steam power plant's mean time between
    stoppages and efficiency.
    2) Import the data from the database by using MongoDB and Python.
    3) Perform Data Pre-Processing and calculate the various key performance parameters to see the
    effects of these changes on efficiency by using Python.
    4) Built the supervised machine learning model to predict efficiency and find out the parameter
    range to control efficiency.

Education

  • M.Tech (Apr, 2015–Sep, 2017) from Sant Longowal Institute of Engineering & Technology, Longowal–scored 9.4
  • B.Tech (Mar, 2011–May, 2014) from Dr. A.P.J. Abdul Kalam Technical University–scored 84

Fee details

    ₹1,000–2,000/hour (US$11.79–23.58/hour)

    The fees are varied on the basis of level of problems.

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