Sakshi Aggarwal Python, Data Science, Machine Learning
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Experienced Data Analyst and ML enthusiast with a passion for uncovering insights and driving impactful decision-making. Skilled in data analysis, predictive modeling, and operationalizing ML solutions. Proficient in Python and SQL, with expertise in tools like Numpy, Pandas, Matplotlib, seaborn and MLflow. Adept at database migration, developing ML inference APIs, and optimizing sales forecasting models.
Having more than 6 years of experience in teaching Electronics and Communication subjects like Digital Logic Design, Microprocessors and Microcontrollers, Python Programming etc.
Have also taught students of grade 6th to 12th. I believe in complete understanding, so i always give emphasis on the basics of any concept. After each topic provide the assignments so as to analyse the weak portion of the student so that he /she can understand better. I believe practical learning is more important than learning concepts only. So I give practical training also to students.

Subjects

  • Data Science and Machine Learning Beginner-Intermediate

  • Data analysis and visualization Beginner-Expert

  • Python Basics Beginner-Expert

  • MLOps Beginner-Intermediate

Experience

  • Freelance Data Analyst/ML Engineer (Apr, 2023–Present) at Total 4 + years of Experience in Python and Data Science domain
    Done ML and Data science real time projects where I used following technology stack :
    Python
    Machine Learning
    Data Analysis and visualization
    Pyspark
    MLFlow
    Modules like Numpy, Pandas, sklearn, matplotlib, seaborn etc
    SQL
    Bigquery
  • Data Analyst (Apr, 2022–Mar, 2023) at Naman Enterprises
    Project:
    Topic Analysis to categorize issues and queries and sentiment related to issues
    1. Classification of product, segment and topics of discussion from client enquiries.
    2. Finding key-phrases using RAKE and Spacy POS tags, using cosine similarity to remove repetitive key-phrases and mapping them to sentence sentiment found using zero shot flair model for each topic. (flair, spacy, RAKE, cosine)
    3. Finding top topics related to text using zero shot flair model classifier and mapping it to text sentiment. (flair, vader, textblob, distroberta, transformer)
    4. Finding mean sentiment and count related to each word of keyphrase across all survey text and displaying as word cloud (wordcloud)
    5. Finding mean sentiment and count related to each topic across survey text and displaying as word cloud. (wordcloud)
  • Data Analyst (Dec, 2019–Mar, 2022) at Dev Overseas
    1. Predicting Future Sales on basis of Historical Sales (Univariate Time Series)
    2. Predicting Future Sales on basis of Historical Sales, discount and event (Multivariate Time Series)
    3. Operationalization of Sales Forecasting Model
  • Assistant Professor (Jul, 2015–Dec, 2019) at Ajay Kumar Garg Engineering College, Ghaziabad
    Teaching B.Tech and M.Tech students - ECE subjects and giving them practical knowledge through Labs
  • Lecturer (Oct, 2011–Jul, 2013) at sanskar college of engineering and technology
    Teaching Btech students ECE subjects with Labs

Education

  • M.Tech (Jun, 2013–Jun, 2015) from JIIT, Noida
  • B.Tech (Jul, 2007–Jun, 2011) from Abes engineering college ghaziabad

Fee details

    ₹600–1,000/hour (US$7.14–11.89/hour)

    Fee can vary depending upon the course structure and content and time, if student is not comfortable with my alloted time slots.

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