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Sayali Kulkarni

Sayali Kulkarni

Data Analyst

Mumbai, India
80
Profile Score

About

Results-driven Data Analyst and Business Intelligence professional specialising in dashboard development, ETL pipelines and AI-assisted analytics. Holds a PG Diploma in Big Data Analytics from CDAC with hands-on experience across the full analytics lifecycle - from data warehousing and KPI reporting to predictive modelling and stakeholder communication. Proven track record of delivering measurable business impact through data-driven solutions in fast-paced environments.

Skills & Expertise (35)

SQL Advanced
8.5/10
3
Years Exp
Python Advanced
8.3/10
3
Years Exp
Pandas Advanced
8.1/10
3
Years Exp
Looker Studio Advanced
7.8/10
1
Years Exp
Streamlit Intermediate
7.5/10
1
Years Exp
Data Modelling Predictive Modelling Data Cleaning Data Quality Business Intelligence KPI Tracking Ad Hoc Analysis Dashboard Development Data Storytelling scikit-learn TensorFlow Keras Regression Classification LSTM Data Warehousing ETL Pipelines Hive Hadoop PySpark AWS (RDS AWS (Athena AWS (Glue AWS (S3 GCP (BigQuery Microsoft Excel Tableau Power BI PandasAI NumPy

Work Experience

Data Analyst

Atrina Technologies Pvt Ltd

Apr 2025 - Present

Developed and automated a daily adoption reporting pipeline delivering app usage and engagement metrics to external clients and stakeholders, saving ~5 hours of manual reporting per week. Designed and optimised BigQuery SQL queries and ETL workflows to track KPIs including DAU, lead engagement and app usage, supporting data modelling, data quality checks and daily scrum reporting. Led dashboard development for the calling-team in Looker Studio, enabling real-time BI reporting and boosting agent productivity by 150%, increasing successful calls from 2 to 5 per day per executive. Delivered KPI and OKR tracking dashboards for leadership weekly reporting; created statistical forecasting models that improved monthly sales projection accuracy for data-driven decision making. Engineered an ad hoc analysis tool using PandasAI and Streamlit that generates EDA graphs and insights from any dataset via natural language prompts, reducing exploratory analysis time by over 60%. Built an audio/video call transcription and summarisation pipeline (evaluated Deepgram, Vertex AI, Claude and Groq); finalised Groq (Whisper), reducing call review time from ~20 mins to 4-5 mins - a 75% reduction.

Education

PG Diploma in Big Data Analytics - Centre for Development of Advanced Computing (CDAC)

2023 - 2024 · Afghanistan

Master of Science - Dr. Vishwanath Karad MIT-WPU

2020 - 2022 · Afghanistan

Bachelor of Science - B.N. Bandodkar College of Science

2017 - 2020 · Afghanistan

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceMar 2026

Skills (35)

SQL Python Pandas Looker Studio Streamlit Data Modelling Predictive Modelling Data Cleaning Data Quality Business Intelligence +25 more