Arifiya Khan
Email: arifiyakhan@gmail.com Linkedin : linkedin.com/in/arifiya-khan
Mobile: +91-8172993811 Location: Bangalore, Karnataka
Skills Summary &bull;
Frameworks : TensorFlow, PyTorch, Keras, Large Language Model (LLM)
&bull; Libraries : Transformers, NumPy, Pandas, Scikit-learn, spaCy, NLTK
&bull; NLP Tools : Topic Modeling, Named Entity Recognition (NER),Sentiment Analysis, Text Summarization, Natural
Language Processing (NLP), Prompt Engineering, Retrieval-Augmented Generation (RAG)
&bull; Platforms : AWS(Amazon Web Services), macOS, Windows
&bull; Languages : Python, C++, SQL
&bull; Soft Skills : Leadership, Writing, Public Speaking, Time Management
Experience &bull;
Tata Consultancy Services
Bangalore,karnataka
Machine Learning Developer (Ful l-time) Oct 2022 - Present
◦Performed large-scale text analytics on 2 Mn+ agent-customer chat data for Apple(Client) at TCS, leveraging
advanced NLP techniques &ndash; Topic Modeling, Text Classification,Text Summarisation(BART),spaCy,
NER, LLMs, and sentiment analysis .
◦ Enabled data-driven service enhancement by identifying pain points &ndash; problematic product names through NER,
geographic issue hotspots through spatial mapping, and areas for improvement through insights from exhaustive
data cleaning, preprocessing, and text summarization.
&bull; Eloquent Advisory Pvt. Ltd.
Remote
Test Automation Architect (Ful l-time) Sept 2021 - Sept 2022
◦Spearheaded end-to-end manual and automated testing processes for Thinkly App, utilizing Jira,
BrowserStack, and AccelQ. Transitioned from intern to full-time position, solely managing testing, coordinating
with developers, and driving 180% quality improvements . Recognized for adaptability, dedication, and
exceptional testing oversight, consistently delivering high-quality results and earning performance- based
increments and commendations.
Projects &bull;
Cab Fare Prediction - Numpy, Pandas, Scikit-learn, Linear Regression, Random Forest : Developed a Cab Fare
Prediction system employing linear regression and random forest algorithms, achieving 90% accuracy in predicting fare
amounts for city cab rides.
&bull; Face recognition model - Tensorflow, Keras, MobileNet, Convolutional Neural Networks (CNN), OpenCV :
Engineered a Face Recognition model using MobileNet and CNN with TensorFlow and Keras, enhancing effectiveness and
achieving an accuracy of 85% in identifying specific individuals, including family members.
Certifications &amp; Trainings &bull;
Data Analyst, edWisor (March 2020-Aug 2020) : Mastered scientific algorithms to extract insights from unstructured
data using R and Python, enhancing analytical skills for data-driven decision-making.
&bull; Hybrid Multi Cloud, LinuxWorld Informatics Pvt Ltd : Proficient in AWS, EKS and Terraform for hybrid multi-cloud
environments and cloud infrastructure automation.
&bull; Google Cloud Certified Associate Cloud Engineer : Certified Associate Cloud Engineer by GCP.Utilized Google Cloud
services such as Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery and Cloud SQL
Education &bull;
I.E.T.,Dr. Ram Manohar Lohia Avadh University
Faizabad, India
Bachelor of Technology - Computer Science and Engineering(CSE); GPA: 82%, Rank:1July 2018 - June 2022
Courses: Operating Systems, Data Structures, Analysis Of Algorithms, Machine Learning, Networking, Databases
&bull; Nirmala Convent Sr. Sec. School
Renukoot, India
Intermediate &mdash; Science (PCM) July 2015 - June 2017
Courses: Physics, Chemistry, Mathematics, Computer Science
Honors and Awards &bull;
Best Team Award - Awarded by Tata Consultancy Services Limited (TCS),2023
&bull; Outstanding performer Prize,Web Development - Awarded by softpro India Computer Technologies (P) Ltd,2018