Data Scientist Machine Learning

Sanjana Prabhu Desai

! ***********.*******@*****.*** +91-942******* è sanjana-prabhu-desai Google Scholar Data scientist with 7+ years of research and engineering experience, skilled in Python, SQL, and machine learning. Proven track record in analyzing large datasets, building models, and delivering insights through advanced analytics.

Core Skills

Programming & ML: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Regex), SQL, C/C++, CUDA, Shell scripting

Data Tools: MySQL, Git, MATLAB, Octave, Mathematica, MS Office, Tableau Techniques: Data Collection, Data Cleaning, Data processing, Data Visualization, Predictive Modeling, Signal Processing, Regression & Classification, Scientific Computing Strengths:Analytical Thinking, Communication, Self-Learning, Adaptability, Persistance Experience

• Graduate Student Researcher - Planetary Radar Astronomy University of California Los Angeles(UCLA), USA Sep 2017 - Sep 2023

– Led end-to-end workflow from collecting raw asteroid radar data at Arecibo radar Observatory (Puerto Rico) to processing, cleaning, and analyzing datasets using Python/C for orbital predictions and 3D shape modeling.

– Developed algorithms in Python and C to study solar radiation effects, improving orbital forecasts.

– Supported in managing a MySQL database with regex-based cleaning pipelines, enabling public access to radar data.

– Collaborated on signal analysis & anomaly detection in huge SETI radar datasets, applying advanced statistical and ML techniques.

– Contributed to thermal modeling research of asteroids and assisted in research proposal drafting for NASA & ALMA Observatory.

– Co-authored peer-reviewed publications, presented findings at international conferences, and served as Teaching Assistant for undergraduate labs.

•Research and Development Engineer

Cyanodoc,Goa, India Aug 2016 - Aug 2017

– Designed and optimized algorithms for a clinical decision support system (CDSS) used in healthcare diagnostics.

– Implemented novel methods for diagnosis prediction and tested prototypes for computational efficiency.

– Liaison with the web development and database management teams to ensure quick turnaround time.

•Project Intern

Indian Institute of Technology, Bombay(IIT Bombay),Maharashtra, India Sep 2015 - Jul 2016

– Conducted ionospheric data analysis using MFDFA algorithm, identifying temporal patterns in satellite signals.

– Involved in the full research cycle: literature review, data preprocessing, coding, analysis, and visualization.

– Developed an interactive MATLAB interface for visualization of results and supported publication of findings in a peer-reviewed journal.

Education

• M.S., Geophysics & Space Physics – UCLA, USA 2017–2019 (CGPA 3.8/4)

• M.E., Microelectronics – Goa College of Engineering, India 2014–2016 (CGPA 9.02/10)

• B.E., Electronics & Telecommunication – Goa College of Engineering, India 2010–2014 (79%) Achievements

• Recepient of prestigious Goa Scholars Scheme 2017-18 ( $22,000) for pursuing higher studies abroad.

• Graduated top of the class in both Bachelor and Master of Engineering studies.

• “Best Student Award” Electronics & Telecommunication Department, 2014 graduating batch.

• Scholarship for securing highest marks among 400 engineering students in first year of B.E. Additional Information

• Volunteering: Conducted robotics workshops for high-school students during BE, at UCLA volunteered in educa- tional expos expliaining Search for extraterrestrial intelligence.

• Advanced to Candidacy (ATC) – PhD Program, UCLA (2017–2023): Demonstrated independent research capabil- ities and academic excellence in planetary radar astronomy.

• Career Break (Oct 2023 – Present): Planned maternity break; actively pursued upskilling in Python, SQL, and Machine Learning to ensure career readiness.

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