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Kunal Krishna is listed as Data Science Lead - Finance at HP, a company with 91179 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a work email signal at hp.com and a matched LinkedIn profile for Kunal Krishna.
Kunal Krishna previously worked as Senior Consultant at Accenture and Manager - FP&A Analytics at Honeywell. Kunal Krishna holds Master Of Business Administration (M.B.A.), Finance from Indian Institute Of Management, Indore.
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AeroLeads found 1 current-domain work email signal for Kunal Krishna. Compare company email patterns before reaching out.
Kunal Krishna is a Data Science Lead - Finance at HP. He possess expertise in data science, machine learning, deep learning, r, python and 31 more skills. He is proficient in English. Colleagues describe him as "I have known Kunal since we have been part of Honeywell. He comes across as a controlled person and patient in understanding the requirements of the customer. He loves to handle challenging tasks which brings news insights to business He is always exploring new technologies and capabilities in the field of Analytics, and inspires others as well in this domain. He has immense knowledge in the world of Analytics and it's capabilities and it's wonderful to be working with him as he… Show more"
Listed skills include Data Science, Machine Learning, Deep Learning, R, and 32 others.
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A career timeline built from the work history available for this profile.
Bengaluru Area, India
From conceptualization to design and implementation, I have been playing a techno-functional role in spearheading Finance Controllership projects that are of strategic importance to the organization. We are developing futuristic frameworks and platforms that are meant to transcend conventional thinking and foster a culture of data driven decision making.
County Dublin, Ireland
My role entailed working with client teams to diagnose problem areas and contribute to architecting analytics solutions by chalking out project plan and strategy, orchestrating analytics workflow, and liaising with cross-functional teams and multiple stakeholders
Bengaluru Area, India
I managed a large portfolio of analytics projects across SBGs. I played crucial role in identifying business use cases, exploring analytics opportunities in Finance, Marketing and Supply Chain, chalking out a strategy for data acquisition, developing and evaluating models, interacting with business counterparts and deploying analytics solutions in.
Other employees you can reach at hp.com. View company contacts for 91179 employees →
Robert Gerada
Colleague at HpCarlton, Victoria, Australia, Australia
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Dhurvi Patel
Colleague at HpRajkot, Gujarat, India, India
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Ankita Tiwari
Colleague at HpDelhi, India, India
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Sajeeda Khan
Colleague at HpBengaluru, Karnataka, India, India
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Aquilino Jorizal Dy
Colleague at HpSingapore, Singapore, Singapore
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Shannu Kpz
Colleague at HpTelangana, India, India
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Meriem Mima
Colleague at HpBatna, Batna, Algeria, Algeria
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Rangegowda N R
Colleague at HpBengaluru, Karnataka, India, India
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Ayelet Ashkenazi
Colleague at HpIsrael, Israel
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Patricia De Pedro
Colleague at HpGreater Barcelona Metropolitan Area, Spain
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Quick answers generated from the profile data available on this page.
Kunal Krishna works for HP.
Kunal Krishna is listed as Data Science Lead - Finance at HP.
AeroLeads has found 1 work email signal at @hp.com for Kunal Krishna at HP.
Kunal Krishna is based in Bengaluru, Karnataka, India while working with HP.
Kunal Krishna has worked for Hp, Accenture, Honeywell, Goldman Sachs, and Indian Institute Of Management, Indore.
Kunal Krishna's colleagues at HP include Robert Gerada, Dhurvi Patel, Ankita Tiwari, Sajeeda Khan, and Aquilino Jorizal Dy.
You can use AeroLeads to view verified contact signals for Kunal Krishna at HP, including work email, phone, and LinkedIn data when available.
Kunal Krishna holds Master Of Business Administration (M.B.A.), Finance from Indian Institute Of Management, Indore.
Kunal Krishna is listed with skills including Data Science, Machine Learning, Deep Learning, R, Python, Advanced Statistics, Financial Analytics, and Marketing Analytics.
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