Monica S. Desai
monicadesai92@gmail.com | Personal Website | GitHub | LinkedIn | Video Resume
Tech Stack
Programming Language Skills
1. Python
2. HTML -- CSS
3. R
4. SQL
5. C/C++
Core Compentencies
| Area | Expertise |
|---|---|
| Machine Learning | Regression, Classification, Clustering, Parameter Tuning, Dimensionality Reduction, Feature Engineering, Scraping, Deployment, Version Control, Modelling and Evaluation, Optimization |
| Data Analysis | EDA, Research, Predictive, Data Manipulation, Interpretation |
| Data Visualisation | Pattern Identification, Story Telling, Interactive Interfaces, Matplotlib, Seaborn, Tableau |
| Databases | MySQL, NoSQL, PostgreSQL |
| Mathematics | Statistics, Probability, Theory |
| Web Tools/Front-End Technologies | HTML, CSS, VS Code, Bootstrape, Selenium |
| Modelling/Algorithms/Architecture | Statistical, Linear, Logistic, Random Forest, Decision Tree, Boosting, K-means, Convolution Neural Network, Neural Network |
| Frameworks | Flask, Scikit-Learn, TensorFlow, Keras, PyTorch, Scrapy |
| Libraries/Packages | Numpy, Pandas, Seaborn, Matplotlib, Networkx, SciPy, Pillow, OpenCV, Spacy, Eli5, Bokeh, Plotly, Requests, BeautifulSoup, Googletrans |
| Deep Learning | Image Processing, Image Classification, Image Segmentation, Transormation, Data Augmentation, Natural Language Processing, Computer Vision, Object Detection, Image Recognition, Masking, Type Annotation, Labeling |
Education
2018-2020 Masters in IT
University of Mumbai
2020-2021 Post Graduate Certified in Data Science & Artificial Intelligence
Edvancer & TCS Certified
2021 Advances in SAR-Polarimetry & Interferometry
Indian Space Research Organization & Indian Insititute of Remote Sensing Certified
2020 Global Navigation Satellite System
Indian Space Research Organization & Indian Insititute of Remote Sensing Certified
Employment
Apr,2021-Dec,2021Research Data Scientist- ABC
• Developed a Machine Learning Model for identification of URLs and also optimized it to 98% with pre-processing for threatintel url dataset
• Created a Deep Learning Model using pytorch, keras, tensorflow for PE File detection and also optimized it to 98% with 8 lakhs of data
• Developed production ready codebase in core python for 70 single and multi-device usecases for various clients based on their requirement and risk level
• Generated visualization reports and identified trends and formulated product problems into feasible ML analysis
• Developed Machine Learning Model for identification of IP address through custom function needed to make it semi-automated process
• Figure-out high-level research papers and road-map that helped team to prioritize future experiments and direction to improve the product
• Independently ran and analyze the whole ML and DL module
• Diagnosed critical issues with dataset that in turn raised 30% improvement in final result
• Devised pipelines in model and supported with POC, ad-hoc analysis, technical documentation to present result in simplified manner
Dec,2019-March,2020Customized Data Specialist- ABC
• Achieved Recognitions from Edvancer and Indian Space Research Organization.
• Developed 80+ projects on github, ratio is 180:250
Nov,2019-Nov,2020Data Analyst- ABC
• Identified KPIs that raised area coverage 2 times more
• Structured shipping logs resulted in unified resources
• Developed dashboards, reports that resolved 18% of client’s queries
• Conducted quantitative & qualitative visualization analytics on broad array of issues leveraged quarter of deliverables
• Created process that reduced production time by 20minutes
Contact Links
monicadesai92@gmail.com | Personal Website | GitHub | LinkedIn | | Video Resume
