Sagrika Bhandari Email & Phone Number
Who is Sagrika Bhandari? Overview
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Sagrika Bhandari is listed as Junior Data Analyst @Salary Finance | Master's in Data Science at Salary Finance, a with 164 employees, based in Romford, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Sagrika Bhandari.
Sagrika Bhandari previously worked as Junior Data Analyst at Salary Finance and Data Analyst Intern at Ugendx Ltd.. Sagrika Bhandari holds Master'S Degree, Data Science from Kingston University.
Email format at Salary Finance
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About Sagrika Bhandari
Passionate about Python Programming, Big Data Analysis, and Machine Learning, with a keen interest in Web Development. Currently immersed in AI projects, augmenting my expertise in data analytics. A dedicated learner and avid reader, constantly seeking new avenues for growth. Excited to bring my skills and enthusiasm to a dynamic team in a data analyst or data science role. Let's connect! #Python #BigData #MachineLearning #DataAnalytics #DataScience #WebDevelopment
Sagrika Bhandari's current company
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Sagrika Bhandari work experience
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Data Analyst Intern
- Conducted comprehensive data analysis on large-scale datasets generated from UGenDx's bladder cancer diagnostic platform.- Collaborated with cross-functional teams to interpret data and extract actionable insights to enhance diagnostic accuracy and efficiency.- Derived and curated a robust dataset of cancerous cell images from a biomarker, employing image preprocessing techniques.- Communicated findings, insights, & recommendations to internal stakeholders and external collaborators.
Machine Learning Intern
- Performed EDA & feature engineering on e-commerce data using RFM model to segment customer behavior.- Identified & clustered VIP customers through RFM analysis in python, enhancing personalized marketing.- Visualized RFM segmentation, unveiling distinct customer behavior patterns, and pinpointed VIP customers, catalyzing tailored marketing approaches for enhanced engagement.
Data Science Intern
- Effectively utilized data preprocessing techniques & applied Naive Bayes classification on liver patient dataset, achieving a 90% accuracy on test dataset.- Collaborated with colleagues to develop a user-friendly Flask app for the aforementioned project.
Colleagues at Salary Finance
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Caroline Brennan
Colleague at Salary FinanceSouthend-On-Sea, England, United Kingdom
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Matthew Stroud
Colleague at Salary FinanceLondon, England, United Kingdom
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Charles Nwaigwe
Colleague at Salary FinanceNorwich, England, United Kingdom
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Jolene Sadler
Colleague at Salary FinanceDeepcut, England, United Kingdom
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Mohana Nukala (He)
Colleague at Salary FinanceAshford, England, United Kingdom
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Christie Ziomek
Colleague at Salary FinanceBoston, Massachusetts, United States
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Preeti Dixit
Colleague at Salary FinanceAhmedabad, Gujarat, India
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Nike Sanni
Colleague at Salary FinanceLondon, England, United Kingdom
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Sherné Hamilton
Colleague at Salary FinanceGrays, England, United Kingdom
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Aman Dhesi
Colleague at Salary FinanceGreater London, England, United Kingdom
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Sagrika Bhandari education
Master'S Degree, Data Science
B.Tech, Computer And Science
Frequently asked questions about Sagrika Bhandari
Quick answers generated from the profile data available on this page.
What company does Sagrika Bhandari work for?
Sagrika Bhandari works for Salary Finance.
What is Sagrika Bhandari's role at Salary Finance?
Sagrika Bhandari is listed as Junior Data Analyst @Salary Finance | Master's in Data Science at Salary Finance.
Where is Sagrika Bhandari based?
Sagrika Bhandari is based in Romford, England, United Kingdom while working with Salary Finance.
What companies has Sagrika Bhandari worked for?
Sagrika Bhandari has worked for Salary Finance, Ugendx Ltd., Ignitus, and Smartbridge.
Who are Sagrika Bhandari's colleagues at Salary Finance?
Sagrika Bhandari's colleagues at Salary Finance include Caroline Brennan, Matthew Stroud, Charles Nwaigwe, Jolene Sadler, and Mohana Nukala (He).
How can I contact Sagrika Bhandari?
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What schools did Sagrika Bhandari attend?
Sagrika Bhandari holds Master'S Degree, Data Science from Kingston University.
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