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Hey there!

I am Deeksha

Data Scientist | Data Engineer | Data Analyst

Transforming Raw Data into Actionable Intelligence for More Informed Decision Making.

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A little bit about my journey

I'm Deeksha, a passionate data enthusiast driven to solve complex challenges through data science. I have completed my master's in Data Science with a focus on Applied Machine Intelligence from Northeastern University, along with a bachelor's degree in computer science engineering. Currently, I am working as a Data Engineer and have two years of experience as a data analyst.

My journey in data science has been a thrilling exploration of patterns, correlations, and stories hidden within raw data. With a strong background in Computer Science and Data Science, I've developed expertise in Data Analysis, Machine Learning, Deep Learning, Data Modeling, and Data Visualization.

I have hands-on experience developing Machine Learning and Deep Learning models. I also excel in designing scalable data pipelines and implementing solutions such as Data Warehousing, ETL processes, and Data Lakes.


Skills



  • Programming Languages: R, Python, Scala, SAS, SQL, C, C++.
  • Frameworks & Libraries: Pandas, NumPy, Pyspark, Scikit-learn, NLTK, Pytorch, Keras, TensorFlow, mxnet, Hugging-face.
  • Data Management: MySQL, NoSQL, Big Data technologies (Apache Hadoop, Spark, Hue, Hive, Databricks)
  • Tools: Alteryx, Looker, Tableau, R Studio, Logstash, GCP, Jira, GIT, Datadog, Docker, Azure / GCP , Kubernetes.
  • Machine Learning & Deep Learning: Supervised & Unsupervised algorithms, Neural Networks (CNN, RNN), Generative Adversarial Networks (GANs), Natural Language Processing (NLP), Reinforcement Learning and Computer Vision, MLOPS.

Qualification

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Work
Education

Data Engineer

Toronto-Dominion Bank (TD)
2023-Present

Data Analyst

Royal Bank of Canada (RBC)
2022-2023

Data Analyst

Essen Electronic Systems Pvt Ltd
2020-2021

Data Science Intern

Verzeo
2018-2018

MS in Data Science

Northeastern University
2021-2023

B.Tech, Computer Science

Vignan's Institute of Information Technology
2016-2020

Projects

My recent Works

Song Emotion Detection with
NLTK & Pyspark

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Song Emotion Detection with
NLTK & Pyspark

  • Developed a real-time emotion prediction system for Spotify songs.

  • Integrated Spotify and Musixmatch APIs for song data extraction.

  • Allowed users to input Spotify song URL for direct analysis.

  • Used VADER, BERT, and GPT for emotion detection from lyrics.

    • View

Text Analysis of a Novel using Python and NLTK

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Text Analysis of a Novel using
Python and NLTK

  • Conducted web scraping with Python's 'request' and BeautifulSoup for text extraction.

  • Applied NLTK for comprehensive novel text and distribution analysis.

  • Used text processing to generate a word frequency plot and identified the dominant word

    • View

Toronto Real Estate Analysis Dashboard

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Toronto Real Estate Analysis Dashboard

  • Developed an interactive Tableau dashboard analyzing Toronto Real Estate Board data.

  • Utilized the MLS® Home Price Index to gain data insights.

  • Analyzed home price dynamics and trends across various Toronto neighborhoods.

  • Identified York Mills as the top neighborhood, with an average home price of ~$1.8 million.

    • View

Data Analysis on Marketing Campaign

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Data Analysis on Marketing Campaign

  • Conducted an in-depth analysis of promotional campaigns.

  • Partitioned the dataset into test and control groups for accurate evaluation.

  • Found 'discount offers' resulted in a 72% sales uplift.

  • 'Buy One Get One' approach resulted in a 43% uplift.

  • Validated results through statistical significance testing.

    • View

My Latest Tech Blogs

View My Tech Insights on Medium

Contact Me

Get in touch

Email

deekshachilukuri31@gmail.com

LinkedIn

linkedin.com/deekshachilukuri

GitHub

github.com/deekshachilukuri31

Location

Toronto, Canada