Nilesh patil profile photo 1 on Tal

Nilesh patil

Data Analyst | Python | SQL | Power BI | 28+ Projects | NLP & Machine Learning | Open to Work

Parola

1+ year of work experience

Netzwerk Academy / Netzwerk Ai
Oct 20259 mosPresent

Parola, Maharashtra, India

1. Integrated data from multiple sources based on customer id to create golden record of customers consisting of 1st party and 3rd party data attributes. 2. Performed thorough analysis to understand the overall data using techniques such as statistical analysis, graphical analysis. 3. Built training data for model development using the seed audience and remaining audience for around 50+ segments. 4. Responsible for performing feature selection using XXX method to remove features directly linked to the segment and extract other important features required for model development. 5. Developed multiple classification models, compared the accuracies against the base model. Tuned the model accuracies using hyperparameter tuning technique and adjusted the hyperparameters to the most optimal value. Was able to achieve an average accuracy of 71.5% across 50+ segments. 6. Generated the lookalike audience by scoring the remaining audience and setting a threshold of top 10 percentile customers. 7. Presented month on month comparision of model accuracies and respective audience sizes for each segments using tabular comparision as well as chart representation.
Netzwerk Academy / Netzwerk Ai
Oct 20259 mosPresent

Parola, Maharashtra, India

1. Integrated data from multiple sources based on customer id to create golden record of customers consisting of 1st party and 3rd party data attributes. 2. Performed thorough analysis to understand the overall data using techniques such as statistical analysis, graphical analysis. 3. Built training data for model development using the seed audience and remaining audience for around 50+ segments. 4. Responsible for performing feature selection using XXX method to remove features directly linked to the segment and extract other important features required for model development. 5. Developed multiple classification models, compared the accuracies against the base model. Tuned the model accuracies using hyperparameter tuning technique and adjusted the hyperparameters to the most optimal value. Was able to achieve an average accuracy of 71.5% across 50+ segments. 6. Generated the lookalike audience by scoring the remaining audience and setting a threshold of top 10 percentile customers. 7. Presented month on month comparision of model accuracies and respective audience sizes for each segments using tabular comparision as well as chart representation.

Education

Bachelor of Science

KVPS'S KISAN ARTS,COMMERCE & SCIENCE COLLEGE, PAROLA.

Bachelor of Science

KVPS'S KISAN ARTS,COMMERCE & SCIENCE COLLEGE, PAROLA.

10th

Sant somagir madyamik Vidyalaya - India

10th

Sant somagir madyamik Vidyalaya - India

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Headline

Data Analyst | Python | SQL | Power BI | 28+ Projects | NLP & Machine Learning | Open to Work

About

Data Analyst with hands-on experience in SQL, Python, Power BI, and Excel, specializing in data analysis, dashboard development, and business reporting. Currently experienced in working with structured and unstructured data, performing data cleaning, preprocessing, exploratory data analysis (EDA), and generating actionable insights to support business decision-making. Skilled in: • SQL • Python • Power BI • Excel • Pandas & NumPy • Data Visualization • KPI Reporting • Machine Learning & NLP Worked on multiple real-world analytics projects, including customer sentiment analysis, sales analytics dashboards, customer behavior analysis, and predictive modeling. Strong understanding of data-driven problem-solving, reporting automation, and transforming raw data into meaningful business insights. Actively seeking Data Analyst opportunities to contribute analytical skills, business understanding, and data visualization expertise in a growth-oriented organization.

Location

Parola

Work experience

Data Analyst at Netzwerk Academy / Netzwerk Ai, Oct 2025 - Present · 9 mos, Parola, Maharashtra, India, 1. Integrated data from multiple sources based on customer id to create golden record of customers consisting of 1st party and 3rd party data attributes. 2. Performed thorough analysis to understand the overall data using techniques such as statistical analysis, graphical analysis. 3. Built training data for model development using the seed audience and remaining audience for around 50+ segments. 4. Responsible for performing feature selection using XXX method to remove features directly linked to the segment and extract other important features required for model development. 5. Developed multiple classification models, compared the accuracies against the base model. Tuned the model accuracies using hyperparameter tuning technique and adjusted the hyperparameters to the most optimal value. Was able to achieve an average accuracy of 71.5% across 50+ segments. 6. Generated the lookalike audience by scoring the remaining audience and setting a threshold of top 10 percentile customers. 7. Presented month on month comparision of model accuracies and respective audience sizes for each segments using tabular comparision as well as chart representation.

Data Analyst at Netzwerk Academy / Netzwerk Ai, Oct 2025 - Present · 9 mos, Parola, Maharashtra, India, 1. Integrated data from multiple sources based on customer id to create golden record of customers consisting of 1st party and 3rd party data attributes. 2. Performed thorough analysis to understand the overall data using techniques such as statistical analysis, graphical analysis. 3. Built training data for model development using the seed audience and remaining audience for around 50+ segments. 4. Responsible for performing feature selection using XXX method to remove features directly linked to the segment and extract other important features required for model development. 5. Developed multiple classification models, compared the accuracies against the base model. Tuned the model accuracies using hyperparameter tuning technique and adjusted the hyperparameters to the most optimal value. Was able to achieve an average accuracy of 71.5% across 50+ segments. 6. Generated the lookalike audience by scoring the remaining audience and setting a threshold of top 10 percentile customers. 7. Presented month on month comparision of model accuracies and respective audience sizes for each segments using tabular comparision as well as chart representation.

Education

Bachelor of Science, KVPS'S KISAN ARTS,COMMERCE & SCIENCE COLLEGE, PAROLA.

Bachelor of Science, KVPS'S KISAN ARTS,COMMERCE & SCIENCE COLLEGE, PAROLA.

10th, Sant somagir madyamik Vidyalaya - India

10th, Sant somagir madyamik Vidyalaya - India

Nilesh patil - Data Analyst in Parola | Tal