Highly Trained in Native Android and Flutter development. Also have skills in Machine Learning, Rest APIs, Javascript, Python, C++. Have 2 Apps Published
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Websocket-App-Demo
April 11, 2024 – April 11, 2024
Websocket-App-Demo — GitHub repository
View ProjectPower_Prediction_in_Wind_Farms
July 2, 2020 – July 24, 2020
A prdeiction model with an end user android application to detect the Power Grid for maximum Power Unit Prediction in Wind Farms. The app tracks the exact location coordinates of the user and fetches the weayher data accordingly. Using the interpolation techniques, we improve the weather data errors(if any). In the next step, the app sends a request to the NODE_RED server and gets the access token from the server. Once, we receive the access token, we finally send another request to the API to get our final prediction data. In the end, we plot a graph of Power VS Timings and display it to the user, and also give the user a complete 72 hour forecast of the Wind-Farm-Power-Prediction.
View ProjectSeizure-glove
February 28, 2020 – June 14, 2021
Head Tonic Clonic Epileptic Seizure detection app combined with its tensorFlow lite model along with hardware band which detects EMG signals.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and show a strong inclination towards mobile application development (Android/Kotlin/Java) with some data science exposure. The 'Power_Prediction_in_Wind_Farms' project aligns with the Data Scientist role, but the majority of other projects are not directly relevant. This indicates a potential gap in direct experience for a dedicated Data Scientist role, suggesting a moderate cultural fit for a pure data science position without further evidence of data-centric work.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results provided.