Jun 2022 – Jul 2022 · 1 mo · Hong Kong SAR

• 1. Built a vessel recommendation system working on the principle of Euclidean Similarity.
• 2. Data Identification and collection done using SQL queries on Python through Mobaxterm and Dbeaver.
• 3. Analysing the differences between similar vessels and identifying similar vessels to an unknown vessel using Unsupervised Learning.
• 4. Applied PCA for dimensionality reduction after using different encodings on text data.
• 5. Reduced the dimensions from 170 to 98 retaining 93% variance in the data.
• 6. Made a Tableau Dashboard for visualising the output from PCA.

Feb 2022 – Feb 2023 · 1 yr · China · Remote

• 1. To remove the inconsistency of SOC/SOH of batteries in a battery pack.
• 2. Analysed different parameters of a battery which governs their SOC/SOH.
• 3. Evaluated the SOC of the battery to prioritize the discharge of the battery module by predicting the battery state using LSTM.

Jul 2021 – Jun 2023 · 1 yr 11 mos

• 1. Leading a team of Robotics and Space enthusiasts.
• 2. Representing University at various National and International competitions, events and conferences.
• 3. Participating in Prestigious competitions like CanSat, UAS and Singapore Space Challenge.

Nov 2020 – Jan 2021 · 2 mos

• 1. Manipulating and Analysing Structure data using Pandas and PySpark.
• 2. Improved the qualtiy of Credit Scorecard by Reject Inferencing Method and Hard-Cutoff Method.
• 3. Analysed and compared multiple Binary Classification models.
• 4. Enhanced the accuracy of XGBoost to 93% by hyperparameter tuning(36.76% increment).
• 5. Automated Data Extraction and analysis from Documents and Messages.

Aug 2020 – Jun 2021 · 10 mos · Virginia, United States

• 1. An annual student Satellite Design, Build and Launch Competition Conducted by NASA and AAS.
• 2. Secured WORLD RANK-1 out of over 100 teams participating internationally.
• 3. Designed a Space-type-system to fit in a variety of constraints.
• 4. Testing and redesigning to maximize the competition score.