Saad Shahid Saleem Ansari

Intro

I am a seasoned professional in the realm of data engineering and data science, driven by a passion for leveraging cutting-edge technologies to derive actionable insights from complex datasets. With a Master's degree in Big Data Analytics Management and a specialization in Data Science and Machine Learning, I possess a solid academic foundation complemented by extensive hands-on experience in the field.

In essence, I am a dedicated and results-oriented professional with a proven track record of driving innovation and delivering tangible business outcomes through the strategic application of data-driven insights and advanced technologies. My multifaceted skill set, coupled with a relentless drive for excellence, positions me as a valuable asset poised to make meaningful contributions in any data-centric role or project.

Career Trajectory

With a diverse background spanning from internships to full-time roles, I've honed my skills in data science & A.I across various industries.

Evamp and Saanga, Islamabad Pakistan

Big Data Engineer

Dec 2023 - Jul 2024

• Utilized custom LLMs to optimize and automate data processing pipelines, resulting in a significant increase in working output.
• Developing optimized A.I/ML models for streamlining data processing
• Engaged in forecasting transaction amounts through the analysis of time series data.
• Crafted and applied SQL queries to extract pertinent data from various sources in alignment with business needs
• Executing Spark tasks in Python/Java for data processing and to modify data according to specified models, with outputs stored in HDFS and data warehouse.
• Crafting Tableau Business Intelligence (BI) reports for comprehensive business analysis and visualization.

Darvis, Islamabad Pakistan

Data Engineer

Jul 2023 - Dec 2023

• Established, managed data pipelines for object detection and image classification tasks.
• Proficiently handling a wide range of computer vision data types and performing ETL including raw, structured, semi-structured, and unstructured datasets.
• Implemented deep learning models for object detection, image classification, semantic segmentation and pose detection by conducting training and inference, contributing to the successful execution and data-driven insights
• Utilized custom scripts for efficient and diverse image augmentation, enhancing model generalization.
• Leveraged advanced custom OCR models to extract customized text, thereby enhancing data accessibility through the development and training of a bespoke model from inception.

Sybrid Private Limited - A Lakson Group of Company, Islamabad Pakistan

Data Science Engineer

May 2022 - July 2023

• Development of Aspect based Sentiment Analysis (ABSA) algorithm for text using hugging face transformer BERT
• Processing, preparation, and annotation of text data for ABSA
• Speech diarization, activity, overlapping and speaker change detection on audio data
• Using XLSR for speech transcription in English and Arabic language audio data

VivaDrive.io, Warsaw Poland

Data Scientist, Erasmus Internship

September 2021 - April 2022

• Exploratory data analysis of profiles
• Pre-Processing Data of Eletric Vehicle Profiles
• Predictive Modeling for recommending number and type of ev
• Data Visualisation of change in profile characteristics
• Model Deployment using Flask

Ventures Exhibition

A selection of completed projects that I've worked on are outlined here and the rest can accessed below

Generative A.I

Langchain & Prompt Engineering Pipeline

• Leveraged LLM by fine tuning them to expedite the data preprocessing and output using prompt engineering.
• Moreover, the models were employed to optimize and automate data processing pipelines, leading to a substantial enhancement in operational productivity.
• Acquired proficiency in utilizing various Large Language Models along with APIs

Object Tracking on Keyframes

Object Detection & Image Classification Pipeline

• Utilizing deep learning models for tracking various objects and classifications in order to achieve business application goals.
• Trained A.I models to classify images resulting in a significant boost in the efficiency of the data pipeline.
• Employed tailored scripts to optimize and diversify image augmentation, thereby improving model generalization.

Text-to-Speech modeling on multiple languages

Auido Analysis Pipeline

• Developed a TTS model for English and Urdu languages from scratch.
• Used Voice cloning techniques to generate TTS voice for specific business use cases..
• Transcribing audio files using Meta XLSR and whisper ASR into multiple languages
• Speech diarization, activity, overlapping, speaker change detection and audio analysis

Sentiment and Aspects analysis for BrandHealth

Text Analysis Pipeline

• Scripting the aspects and sentiments by using public text reviews of a brand
• Developing Named Entity Recognition (NER) models to detect specific entities for analytical purposes.
• Creating Dashboards for ABSA clients.

Educational Credentials

Combining computer science with a specialized emphasis on data and A.I

Masters in Big Data Analytics Management

Bahçeşehir University, Istanbul Turkey

2019 - 2021

• GPA: 3.14
• Major: Data Science
• Thesis Title: "A career recommendation framework to high school students using similar freshman students"

Bachelors in Computer Sciences

Preston University,Islamabad Pakistan

2014 - 2028

• GPA 3.0
• Final Year Project: iMirror

Contact

• Email: saadshahidansari@gmail.com


• Cell# +923315084860


• Skype: saadansari007


• Linkedin
• Twitter
• Facebook
• Instagram
• GitHub

Elements

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