About me
Data Science Professional with an overall 2.8 years of experience (2 years of academic and industrial research experience in machine learning, data science and computer vision and 0.8 years of industry experience as a Data analyst). Earned my Masters in Data Science, gaining hands-on experience in leveraging Python with deep learning frameworks such as PyTorch to develop solutions for ML problems.
Expertise in:
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Neural Networks
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Predictive Modeling
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Time Series Forecasting
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Exploratory Data Analysis
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Data Visualization-Power Bi, Tableau, Matplotlib
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Python · R · C++
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Google cloud-Google Kubernetes Engine, AutoML, Pub-sub, AI Platform, Big Query
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MYSQL
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Kubeflow, TensorFlow Extended
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PCA, Regression and Classification models, Factor and Cluster Analysis
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Data Mining, Knowledge Discovery, Supervised, Unsupervised learning, Support Vector Machines
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CNN, RNN, Tokenization and Embeddings, Time Series Forecasting,
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TensorFlow, Keras, SPSS, NumPy, Pandas
Work Experience
Feb 2024 – Present
Research Data Analyst| DePaul University
Northwestern University - Feinberg School of Medicine (Integrative genomics metabolomics core)
• Proficient in R and Python programming, with a strong foundation in utilizing high-performance computing clusters (HPC) for using scverse tools and seurat.
• Utilized Snakemake to provide a Single cell workflow in order to automate the entire process of demultiplexing for fastq file generation and alignment using cellranger, which then gets processed by scanpy.
• Experienced in analyzing data from MERFISH (spatial transcriptomics) technologies such as Xenium and Cosmx machines and next-generation sequencing workflows (Single cell analysis) and Bulk RNA-seq.
• Established a spatial workflow which includes leiden clustering, niche analysis and niche differential expression analysis.
• Established a cellbrowser website for the core laboratory to upload spatial and single cell data for visualizing gene, celltype and niche expression in spatial and UMAP plots for Principal Investigators.
September 2021- June 2023
Graduate Research Assistant | DePaul University
• Worked on different research projects applying image processing, machine learning, deep learning, and computer vision techniques and published 1 scientific paper
• Conducted research from generation of ideas, literature surveying, implementation of methods, collaboration with different stakeholders and publishing of papers
January 2021- August 2021
Data Analyst | IVIewSense Private Limited
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Performed analysis on Failed parameter data, synthesized millions of data points using MYSQL to turn data into insight and developed ad-hoc reports saving $6M to monitor 50+ Failed Parameters of 228 Machines using Power BI
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Reduced Data wrangling time by 90% leveraging my skills in Advanced Editor to modify Power Query M code and transform data into actionable metrics
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Applied data visualization strategies in Power BI to build dashboards communicating hourly parameter failure information to client
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Analyzed Performance of various KPIs to reduce loading time of KPIs and cards
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Created a wireframe for Visuals, developed Power-bi reports with visuals of customer categorization, Tallied GL ledgers and created KPI visuals of branch-wise income analysis
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Academic Experience
2021-2023
Master of Science in Data Science | Depaul University
Relevant coursework: Advanced Data Analysis, Data Visualization, Database Processing, Mining Big Data, Advanced Machine Learning, Neural Networks and Deep Learning, Image Processing, Computer Vision, Master’s research
2016-2020
Bachelor of Computer Science and Engineering Easwari Engineering College,India
Relevant coursework: Data Structures, Algorithms, Networking,Discrete Mathematics, Statistics, Linear
Algebra, Advanced Calculus, Object Oriented Programming
