Jan 2020 – Apr 2020 · 3 mos

• SenseGrass offers 360 farming solutions based on cutting edge technology like Nano-Satellite Mapping, Rover Bots and AI-based mobile & web application that makes farming super-efficient & easy. I was working as a Data Science Intern in the ML-GIS Team of SenseGrass Inc.
• 1. Fetched Data from Michigan Plants Database using Web-Scraping.
• 2. Performed Data cleansing and eliminating duplicate and inaccurate values.
• 3. Carried out Geo-spatial analysis in Geographic Images.
• 4. Derived valuable insights from Normalized Difference Vegetation Index (NDVI) Images.
• Environment: Python, Rasterio, BeautifulSoup, Selenium.

Dec 2019 – Feb 2020 · 2 mos

• 1. Work closely with the Product Manager to build growth solutions and product pitching for Spacenos.
• 2. Analyze market trends and patterns for generating weekly and monthly reports with past and present markets behavior.
• 3. Creating wireframes to communicate requirements and features to the product and engineering teams.
• 4. Trained a DL model using BERT to predict toxic hate speech, fraudulent messages, cyberbullying, violence, sexual content, grooming, drugs and alcohol, suicidal messages, mental health for a parental control app.
• 5. Used Bidirectional LSTMs to improve model performance compared to traditional LSTMs. TensorFlow lite was used so as to be readily incorporated in the application in online and offline mobile modes.
• 4. Sent alerts and notifications of the user’s internet interaction to the parents using RESTful endpoints. Used TensorFlow, Keras libraries, and glove word embeddings.
• 5. Making product pitches and project proposal documentation, content creation for a career accelerator program for students okperk.com.

Jul 2019 – Oct 2019 · 3 mos · Hyderabad Area, India

• 1. Responsible for developing and implementing PACOR automation, reducing human errors, and saving 200+ manhours.
• 2. Understanding the supply chain of Tata Boeing Aerospace and suggesting improvements to the program manager.
• 3. Created Condition of Supply orders by incorporating FSDA (Full size determinate assembly) concept with the Design Changes and accounting for the Machining Tolerances for the Main torsional Box Ribs of the 737 Max Vertical fin.
• 4. Mediated between the Quality team and Suppliers to resolve detailed part quality-related issues through 8D and CAPA methodologies.
• 5. Harmonized 34 Extrusion profiles to be replaced for Sheet metal parts by understanding the fit form function and justified using cost and producibility analysis.
• 6. Developed block models in SAP to trigger Automatic Assembly level First Article Inspection (AFAI) for detail parts undergoing revision change and whenever a part is added from a new supplier.
• 7. Conducting time series analysis and plant visits.

May 2019 – Jul 2019 · 2 mos · Hyderabad Area, India

• 1. Understanding process-structure-property-performance linkages in laser-based and Electron beam-based powder bed fusion systems.
• 2. Modelling of powder spreading, melting, and grain growth using MATLAB.
• 3. Implementation of PCA algorithm for reducing computational complexity instead of FEA analysis for faster and better results.

May 2018 – Jul 2018 · 2 mos · Hyderabad Area, India

• 1. Familiarization of B-200 aircraft and it's systems.
• 2. Preparation of aircraft maintenance program taking cue from manufacture's recommendation.
• 3. Evaluation of service bulletins issues by manufactures to enhance safety and airworthiness of aircraft.
• 4. Monitoring compliance status of various maintenance aspects such as replacing life limited components and completion of routine inspections.
• 5. Maintenance of history cards in-respect of all rotables ( overhauled and re-used) installed on aircraft.

Nov 2017 – Jan 2018 · 2 mos · Chennai Area, India

• Designed cost effective EDM wire machine