Nida Khan
@nidakhan1
Data scientist skilled in machine learning and data engineering.
What I'm looking for
As a data scientist with extensive experience in machine learning and data engineering, I have successfully developed and deployed advanced models that drive significant business value. At Securiti, I built a CNN-based header row detection model that achieved 96% classification accuracy, demonstrating my ability to leverage cutting-edge technologies to solve complex problems.
During my tenure at Afiniti Software Solutions, I optimized call routing using machine learning, generating over $1 million in monthly revenue. My passion for data-driven decision-making is evident in my work, where I have automated ML pipelines and trained teams to enhance project efficiency. I thrive in collaborative environments and am committed to continuous learning and improvement.
Experience
Work history, roles, and key accomplishments
Data Scientist
Securiti
Nov 2024 - May 2025 (6 months)
Built a CNN-based header row detection model with sentence-transformer embeddings, achieving 96% classification accuracy and integrating PyTorch models into a Java-based production pipeline. Fine-tuned LLaMA 3 using PEFT (LoRA) with Unsloth for multi-class classification of 15+ personal data (PD) column types, achieving an average F1 score of 92% per PD type.
Data Scientist II, Artificial Intelligence Team
Afiniti Software Solutions Ltd.
May 2022 - Oct 2024 (2 years 5 months)
Optimized call routing using machine learning models like Decision Trees to improve customer retention and lifetime value, generating over $1 million in revenue per month. Streamlined and fully automated the ML pipeline in R, enabling end-to-end data preprocessing, training, validation, and standardized model logging.
Data Scientist, Artificial Intelligence Team
Afiniti Software Solutions Ltd.
May 2021 - May 2022 (1 year)
Optimized call routing using machine learning models like Decision Trees to improve customer retention and lifetime value, generating over $1 million in revenue per month. Streamlined and fully automated the ML pipeline in R, enabling end-to-end data preprocessing, training, validation, and standardized model logging.
Junior Data Scientist, Artificial Intelligence Team
Afiniti Software Solutions Ltd.
Feb 2020 - May 2021 (1 year 3 months)
Optimized call routing using machine learning models like Decision Trees to improve customer retention and lifetime value, generating over $1 million in revenue per month. Streamlined and fully automated the ML pipeline in R, enabling end-to-end data preprocessing, training, validation, and standardized model logging.
Education
Degrees, certifications, and relevant coursework
National University of Sciences and Technology
B.E. Electrical Engineering, Electrical Engineering
2015 - 2019
Grade: 3.83/4.00
Activities and societies: Courses: Machine Learning, Probability & Statistics, Data Structures & Algorithms, Object-Oriented Programming.
Studied Electrical Engineering with a focus on Machine Learning, Probability & Statistics, Data Structures & Algorithms, and Object-Oriented Programming. Achieved a cumulative GPA of 3.83/4.00.
Availability
Location
Authorized to work in
Job categories
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