“Bhavika is a brilliant and proactive developer. She has nice skills to progress in IT industry. Her interest in AI is overwhelming. As her senior in Nokia project in Accenture it was nice working with her. 👍”
Activity
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𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮 𝟭𝟬𝘅 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (𝗶𝗻 𝟮𝟬𝟮𝟲), 𝗿𝗲𝗮𝗱 𝘁𝗵𝗲𝘀𝗲 𝟭𝟮 𝗯𝗹𝗼𝗴𝘀: 1. Google…
𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮 𝟭𝟬𝘅 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (𝗶𝗻 𝟮𝟬𝟮𝟲), 𝗿𝗲𝗮𝗱 𝘁𝗵𝗲𝘀𝗲 𝟭𝟮 𝗯𝗹𝗼𝗴𝘀: 1. Google…
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🚨 𝗕𝗶𝗴𝗴𝗲𝗿 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝘄𝗶𝗻𝗱𝗼𝘄𝘀 𝘄𝗼𝗻’𝘁 𝗳𝗶𝘅 𝗹𝗼𝗻𝗴-𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴. 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘄𝗶𝗹𝗹. That’s…
🚨 𝗕𝗶𝗴𝗴𝗲𝗿 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝘄𝗶𝗻𝗱𝗼𝘄𝘀 𝘄𝗼𝗻’𝘁 𝗳𝗶𝘅 𝗹𝗼𝗻𝗴-𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴. 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘄𝗶𝗹𝗹. That’s…
Liked by Bhavika Sehgal
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Semantic routers are a practical way to route prompts by meaning, not brittle keywords. This article walks through how embedding-based routing can…
Semantic routers are a practical way to route prompts by meaning, not brittle keywords. This article walks through how embedding-based routing can…
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Experience
Licenses & Certifications
Patents
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UTILIZING MACHINE LEARNING MODELS TO PROVIDE COGNITIVE SPEAKER FRACTIONALIZATION WITH EMPATHY RECOGNITION
US 17/218,952
Projects
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AI Agent
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Worked on Conversational AI, Speech Recognition output processing
Worked on Inverse Text Normalization using Finite State Transducers (Pynini).
Generated taggers and verbalizers for Hindi Language. -
Sales Report | Power BI
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Integrated power BI desktop with Microsoft SQL Server followed by data cleaning and transformation with Power Query and data modelling
Filtered values like Top N customers, Revenue, Profit etc. all key factors were highlighted in the report; followed by different visualizations like waterfall model, decomposition Tree etc. -
Power Apps and Power Automate
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Developed desktop and mobile apps in Microsoft Power apps
Used
Excel, Forms and SharePoint online.
Set up Microsoft Flow (Power Automate) to provide auto-approval and status update features based on predefined criteria -
Call Auditing Framework
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Performed Speaker Diarization(Speech Synthesis) and Sentiment Analysis for research and development of call auditing framework.
Analyzed lot of research papers for the same.
Worked on NLP libraries like TextBlob, NLTK, Vader.
Also worked on feature extraction process to extract MFCC features from audio files and used clustering algorithms like KMeans, Spectral and Agglomerative clustering. -
Text Classification
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Worked on Client data to classify text into categories based on description provided
Performed various text pre-processing techniques such as Tokenization, Stopwords Removal, Lemmatization etc.
Feature Extraction techniques such as Bag of Words, TFIDF,
Word2Vec etc. and Feature Selection techniques such as SelectKBest features were used.
Used Machine Learning models such as Naïve Bayes, SVM. -
Integrating Python modules with Browser | Pyodide
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Worked on Pyodide which brings Python runtime to the browser via WebAssembly.
Integrated Python libraries like Matplotlib, Numpy, Pandas with QuickBase and displaying the results on web browser. -
MQT
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Worked on JAVA Spring and Apache POI framework to generate excel files to save and generate quotations for client's various services.
Performed automation testing using Selenium and code review using Sonar Qube; Integrated Backend code with Oracle SQL database.
Honors & Awards
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Applause Award
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Applause Award
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Languages
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English
Native or bilingual proficiency
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Hindi
Native or bilingual proficiency
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Punjabi
Native or bilingual proficiency
Recommendations received
1 person has recommended Bhavika
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𝟮𝟬𝟮𝟱 𝘄𝗮𝘀𝗻’𝘁 𝗹𝗼𝘂𝗱. 𝗜𝘁 𝘄𝗮𝘀 𝗶𝗻𝘁𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹. This year taught me that progress isn’t about doing more, it’s about doing the…
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Thrilled to share my new guest article published today in Supply & Demand Chain Executive! 🎉 Asset Optimization isn’t only about better data and…
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