Arjun Sharma

Domain: Aerospace, Health care, ESG, RCM

• Collaborated with my organization to establish and lead Center of Excellence (COE) team.
• Demonstrated our organization's competence to prospective healthcare clients through analysis of healthcare data with use of Deep Learning and NLP techniques.
• Serving as a lead consultant for European ESG client, facilitating valuable insights from discussions among experts in ESGCTI domain.
• Created Speech-to-Text module incorporating Diarization techniques to distinguish between participant dialogues during discussions, offering valuable insights to users of application.
• Designed module to extract pertinent spoken keywords from participant discussions and present them through visually informative graphs.
• Design a Simulation mode that integrates OpenAI's LLM model to create synthetic data relevant to a specified topic. Afterwards, contrast these findings with those from real participants to discern which contributions align more closely with ESGCTI domain.
• Parallelly engaged in developing a module within RCM to identify and extract pertinent information through data analysis and prompt engineering.

NLP:

• Developed a Streamlit Application featuring Text Summarization, Named Entity Recognition (NER), Multi-lingual Translation, Text-to-Speech capabilities in 24 languages, Document Reading, and Accent Adjustments.

Domain: Aerospace

• Worked with CNC (Computer Numerical Control) machines.
• Extracted and assessed data from databases to drive improvement of product development and business strategies and processes.
• Analyzed machine sensor data(Lathe, Grinding, Milling).
• Extensive EDA, Data Cleaning, Pre-Processing, Feature Extraction, Descriptive / Predictive Modelling.
• Understanding GCode, NCode Program Structures, ProgrammeName, Spindle speed, Load on Tool etc
• Developed anomaly detection module to raise alarms in order to avoid Tool wear and save cost upto 60% helping in savings in millions of $.
• Applied advanced Visualization's and Analytics to present and process complex data.

Domain: Language Translation Capability(Accenture)

• Analyzed datasets for LTC team dealing with languages(German,French,Dutch,Finnish,Portuguese,Italian,English).
• Worked on use-cases related to Machine Learning (Text Similarity, Document Similarity, Identifying Duplicate data in the System) to help streamline and save time for LTC team.
• Provided Statistics such as sentence count, unique sentence count, word count, repeated sentence % count, tokens count etc to calculates efforts required for translations.

Domain: Defect Analysis

• Analyze and track raised defects/bugs statuses across platforms.
• Provide visual insights to respective teams, analytical reporting of similar defects raised with priorities.

Domain: Supply Chain Management(Logistics)

• Exercised meticulous problem-solving skills with systematic thinking and informed decision making.
• EDA and provide Results of Analysis with Visualizations and Reports to Leadership and Clients related to Invoices.
• Oracle Fusion to review and manage data.
• Facilitated communication and collaboration between Oracle, Accenture and Wincanton(european client) serving as a bridge to streamline the process.