Sohaib Awan

Data Scientist & AI Engineer

Fiverr • Freelance

Sep 2024 - Present • 1 yr 8 mos

I have 2+ years of experience in Artificial Intelligence and Data Science, with hands-on experience in designing, developing, and deploying AI and ML solutions. My AI expertise includes: 1. Machine Learning & Deep Learning: --> Building models for classification, regression, and forecasting using Python and libraries such as scikit-learn, TensorFlow, and PyTorch. --> Experience with time series forecasting, predictive analytics, and anomaly detection. --> Knowledge of neural networks, including CNNs for image tasks and RNNs/LSTMs for sequential data. 2. Generative AI & LLM Applications: --> Developed lightweight AI apps using GPT, LLaMA, Claude, and other open-source LLMs via APIs. --> Applied prompt engineering for text generation, summarization, and chatbot interfaces. 3. Natural Language Processing (NLP): --> Text preprocessing, sentiment analysis, topic modeling, and chatbot prototype development. 4. Data Handling & Visualization: --> Expertise in data analysis, forecasting, and visualization with storytelling. --> Proficient in SQL, pandas, NumPy, and visualization libraries such as Matplotlib and Seaborn.

Data Science Intern

Tenx • Full-time

Nov 2025 - Jan 2026 • 2 mos

Worked on end-to-end data science projects, including data wrangling, feature engineering, exploratory data analysis, and Deep Learning. Designed and built automated data pipelines for ingesting, transforming, and loading data from multiple sources into centralized data warehouses. Built Data Science Web Applications which allows in-depth Statistical Analytics, A/B Testing, Forecasting, and Machine Learning. Collaborated with the team and worked closely under the guidance of the line manager to analyze data and generate recommendations for real-world decision-making.

Data Engineer Intern

Systems Limited • Full-time

Jul 2024 - Sep 2024 • 2 mos

Designed and implemented data warehousing solutions using SQL and PostgreSQL, focusing on schema design, indexing, and performance optimization. Gained hands-on experience working with Python, SQL, Apache Spark, Databricks, and Hadoop to understand large-scale data processing, distributed computing, and data pipeline orchestration. Worked with structured and semi-structured data to practice transformations, normalization, and data quality checks.