Fardeen Ahmad

Aspiring Data Analyst

Mohali, Punjab 0+ yrs exp 86 · Excellent

About

Aspiring Data Analyst with hands-on experience in SQL, Python, Excel, Machine Learning, and data analysis projects. Skilled in data cleaning, exploratory data analysis (EDA), data visualization, and transforming raw data into meaningful business insights. Proficient in Pandas, NumPy, Scikit-learn, and analytical problem-solving, with practical experience working on real-world datasets and predictive analytics projects.

Skills & Expertise (28)

Python Advanced

8.0/10

0.5

Years Exp

Pandas Advanced

8.0/10

0.5

Years Exp

NumPy Advanced

8.0/10

0.5

Years Exp

scikit-learn Advanced

8.0/10

0.5

Years Exp

Data Cleaning Intermediate

7.5/10

0.5

Years Exp

Data Preprocessing Intermediate

7.5/10

0.5

Years Exp

EDA Intermediate

7.5/10

0.5

Years Exp

Model Training Intermediate

7.5/10

0.5

Years Exp

Model Evaluation Intermediate

7.5/10

0.5

Years Exp

Classification Intermediate

7.5/10

0.5

Years Exp

NLP Intermediate

7.5/10

0.5

Years Exp

SQL Intermediate

7.0/10

0.5

Years Exp

Jupyter Notebook Intermediate

7.0/10

0.5

Years Exp

Random Forest Intermediate

7.0/10

0.5

Years Exp

TF-IDF Intermediate

7.0/10

0.5

Years Exp

Seaborn Intermediate

7.0/10

0.5

Years Exp

Matplotlib Intermediate

7.0/10

0.5

Years Exp

Data Visualization Intermediate

7.0/10

0.5

Years Exp

Excel Intermediate

6.5/10

0.5

Years Exp

Power BI Intermediate

6.0/10

0.5

Years Exp

GitHub Intermediate

6.0/10

0.5

Years Exp

VS Code Intermediate

6.0/10

0.5

Years Exp

Streamlit Intermediate

6.0/10

0.5

Years Exp

Problem Solving Analytical Thinking Quick learner Communication Adaptability

Work Experience

AI & ML Trainee

ThinkNEXT Technologies Pvt. Ltd.

Jan 2026 - Present

Undergoing 6-month industrial training in Artificial Intelligence and Machine Learning using Python. Working on machine learning projects involving data preprocessing, model training, and evaluation. Gaining practical exposure to NLP, classification algorithms, and predictive analytics workflows. Using Python libraries such as Pandas, NumPy, and Scikit-learn for real-world datasets and analysis.